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Journal articles on the topic 'Fuzzy parametric uncertain system'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

D. Apale, Tejal, and Ajay B. Patil. "Optimization study of fuzzy parametric uncertain system." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 1 (2019): 14. http://dx.doi.org/10.11591/ijai.v8.i1.pp14-25.

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This paper deals with the analysis and design of the optimal robust controller for the fuzzy parametric uncertain system. An LTI system in which coefficients depends on parameters described by a fuzzy function is called as fuzzy parametric uncertain system. By optimal control design, we get control law and feedback gain matrix which can stabilize the system. The robust controller design is a difficult task so we go for the optimal control approach. The system can be converted into state space controllable canonical form with the α-cut property fuzzy. For optimal control design, we find control

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Tejal, D. Apale, and B. Patil Ajay. "Optimization study of fuzzy parametric uncertain system." International Journal of Artificial Intelligence (IJ-AI) 8, no. 1 (2019): 14–25. https://doi.org/10.11591/ijai.v8.i1.pp14-25.

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This paper deals with the analysis and design of the optimal robust controller for the fuzzy parametric uncertain system. An LTI system in which coefficients depends on parameters described by a fuzzy function is called as fuzzy parametric uncertain system. By optimal control design, we get control law and feedback gain matrix which can stabilize the system. The robust controller design is a difficult task so we go for the optimal control approach. The system can be converted into state space controllable canonical form with the α-cut property fuzzy. For optimal control design, we find c

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Bhiwani, R. J., and B. M. Patre. "Stability analysis of fuzzy parametric uncertain systems." ISA Transactions 50, no. 4 (2011): 538–47. http://dx.doi.org/10.1016/j.isatra.2011.06.002.

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Behera, Diptiranjan, Hong-Zhong Huang, and Smita Tapaswini. "Uncertain dynamic responses of imprecisely defined arbitrary order fractionally damped beam subject to various loads." Engineering Computations 35, no. 2 (2018): 818–42. http://dx.doi.org/10.1108/ec-04-2017-0134.

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PurposeRecently, fractional differential equations have been used to model various physical and engineering problems. One may need a reliable and efficient numerical technique for the solution of these types of differential equations, as sometimes it is not easy to get the analytical solution. However, in general, in the existing investigations, involved parameters and variables are defined exactly, whereas in actual practice it may contain uncertainty because of error in observations, maintenance induced error, etc. Therefore, the purpose of this paper is to find the dynamic response of fract

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Aydi, Amira, Mohamed Djemel, and Mohamed Chtourou. "Two fuzzy internal model control methods for nonlinear uncertain systems." International Journal of Intelligent Computing and Cybernetics 10, no. 2 (2017): 223–40. http://dx.doi.org/10.1108/ijicc-07-2016-0026.

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Purpose The purpose of this paper is to use the internal model control to deal with nonlinear stable systems affected by parametric uncertainties. Design/methodology/approach The dynamics of a considered system are approximated by a Takagi-Sugeno fuzzy model. The parameters of the fuzzy rules premises are determined manually. However, the parameters of the fuzzy rules conclusions are updated using the descent gradient method under inequality constraints in order to ensure the stability of each local model. In fact, without making these constraints the training algorithm can procure one or seve

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Jiao, Xin, Baris Fidan, Ju Jiang, and Mohamed Kamel. "Type-2 fuzzy adaptive sliding mode control of hypersonic flight." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 8 (2017): 2731–44. http://dx.doi.org/10.1177/0954410017712329.

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This paper proposes a type-2 fuzzy adaptive sliding mode control scheme for tracking control of hypersonic aircraft with uncertainties. This method uses full-state feedback to linearize the nonlinear model of hypersonic aircraft. Combining the interval type-2 fuzzy approach and adaptive sliding mode control keeps the system stable in the existence of uncertain parameters. For rapid stabilization of the system, the adaptive laws are designed using a direct constructive Lyapunov analysis together with a well-established type-2 fuzzy logic control. Simulation test results indicate that the propos

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Gao, Ze Feng, Jun Chen, and Fei Liu. "Guaranteed Cost Control for Fuzzy Bilinear Systems with Uncertain Parameters." Advanced Materials Research 433-440 (January 2012): 1723–29. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1723.

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The main theme of this paper is to present robust guaranteed cost control laws for a class of fuzzy bilinear systems (FBS) with parametric uncertainties. First, the piecewise Lyapunov function (PLF) method is utilized to design a fuzzy controller, which ensures the robust asymptotic stability of the closed-loop system, and then the robust guaranteed cost control law is also proposed. Second, based on the Schur complement and some variable transformations, some sufficient conditions are derived to guarantee the stability of the overall fuzzy control system via linear matrix inequalities (LMIs).

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Anh, Ho Pham Huy, and Cao Van Kien. "Novel Approach of Robust Hinf Tracking Control for Uncertain Fuzzy Descriptor Systems Using Parametric Lyapunov Function." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 69–88. http://dx.doi.org/10.15625/1813-9663/35/4/13749.

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This paper proposes a novel uncertain fuzzy descriptor system which is an extension from standard T-S fuzzy system. A fixed Lyapunov function-based approach is considered and controller design for this rich class of fuzzy descriptor systems is formulated as a problem of solving a set of LMIs. The design conditions for the descriptor fuzzy system are more complicated than the standard state-space-based systems. However, the descriptor fuzzy system-based approach has the advantage of possessing fewer number of matrix inequality conditions for certain special cases. Hence, it is suitable for comp

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Anh, Ho Pham Huy, and Cao Van Kien. "Novel Approach of Robust Hinf Tracking Control for Uncertain Fuzzy Descriptor Systems Using Parametric Lyapunov Function." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 69–88. http://dx.doi.org/10.15625/1813-9663/36/1/13749.

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This paper proposes a novel uncertain fuzzy descriptor system which is an extension from standard T-S fuzzy system. A fixed Lyapunov function-based approach is considered and controller design for this rich class of fuzzy descriptor systems is formulated as a problem of solving a set of LMIs. The design conditions for the descriptor fuzzy system are more complicated than the standard state-space-based systems. However, the descriptor fuzzy system-based approach has the advantage of possessing fewer number of matrix inequality conditions for certain special cases. Hence, it is suitable for comp

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Qiu, Bingkui, Yan Tu, Guoliang Ou, et al. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints." Land 12, no. 5 (2023): 1099. http://dx.doi.org/10.3390/land12051099.

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In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chance constraint programming which can cope with uncertain problems such as interval value, fuzzy set and probability. In this paper, the uncertain mathematical method is explored and studied in the optimal allocation of land use in the next two planning periods of Nansihu Lake Basin in China. Moreover,

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Ahmadi, Seyed Mohammad, and Mohammad Mehdi Fateh. "On the Taylor series asymptotic tracking control of robots." Robotica 37, no. 3 (2018): 405–27. http://dx.doi.org/10.1017/s0263574718001078.

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SUMMARYAchieving the asymptotic tracking control of electrically driven robot manipulators is a challenging problem due to approximation/modelling error arising from parametric and non-parametric uncertainty. Thanks to the specific property of Taylor series systems as they are universal approximators, this research outlines two robust control schemes using an adaptive Taylor series system for robot manipulators, including actuators' dynamics. First, an indirect adaptive controller is designed such as to approximate an uncertain continuous function by using a Taylor series system in the propose

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Wang, Lin, Jinbo Ni, and Chunzhi Yang. "Synchronization of Different Uncertain Fractional-Order Chaotic Systems with External Disturbances via T-S Fuzzy Model." Journal of Function Spaces 2018 (August 12, 2018): 1–11. http://dx.doi.org/10.1155/2018/2793673.

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This paper presents an adaptive fuzzy synchronization control strategy for a class of different uncertain fractional-order chaotic/hyperchaotic systems with unknown external disturbances via T-S fuzzy systems, where the parallel distributed compensation technology is provided to design adaptive controller with fractional adaptation laws. T-S fuzzy models are employed to approximate the unknown nonlinear systems and tracking error signals are used to update the parametric estimates. The asymptotic stability of the closed-loop system and the boundedness of the states and parameters are guarantee

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Patil, A. B., and R. H. Chile. "Soft computing optimisation study of fuzzy parametric uncertain system for real time process control." International Journal of Autonomic Computing 3, no. 2 (2018): 130. http://dx.doi.org/10.1504/ijac.2018.097619.

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Patil, A. B., and R. H. Chile. "Soft computing optimisation study of fuzzy parametric uncertain system for real time process control." International Journal of Autonomic Computing 3, no. 2 (2018): 130. http://dx.doi.org/10.1504/ijac.2018.10018809.

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Sahoo, Laxminarayan, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, and Tapan Senapati. "Optimization of Data Distributed Network System under Uncertainty." Discrete Dynamics in Nature and Society 2022 (April 8, 2022): 1–12. http://dx.doi.org/10.1155/2022/7806083.

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The major network design or data distributed problems may be described as constrained optimization problems. Constrained optimization problems include restrictions imposed by the system designers. These limitations are basically due to the system design’s physical limitations or functional requirements of the network system. Constrained optimization is a computationally challenging job whenever the constraints/limitations are nonlinear and nonconvex. Furthermore, nonlinear programming methods can easily deal same optimization problem if somehow the constraints are nonlinear and convex. In this

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Kifayat Mammadova, Aytan Aliyeva, Kifayat Mammadova, Aytan Aliyeva. "INTELLIGENT CONTROL SYSTEM OF MULTI-MOTION MOBILE ROBOT." Caucasus-Economic and Social Analysis Journal of Southern Caucasus 58, no. 01 (2024): 78–90. http://dx.doi.org/10.36962/cesajsc5801024-78.

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Technical devices with irregular motion are described by complex non-linear differential equations, as they have an uncertain environment. Due to interactions and simplifications in these types of control objects, their mathematical models may have certain errors. For this reason, by known methods, for example, the linear matrix inequality method, Lyapunov's quadratic function, etc. The synthesized automatic control systems (ACS) for dynamic objects written by nonlinear mathematical models based on the quadratic matrix determined by The synthesis of regulators for the management of dynamic obj

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El-ghatwary, Magdy G., Steven X. Ding, and Zhiwei Gao. "ROBUST FAULT DETECTION FOR UNCERTAIN TAKAGI-SUGENO FUZZY SYSTEMS WITH PARAMETRIC UNCERTAINTY AND PROCESS DISTURBANCES." IFAC Proceedings Volumes 39, no. 13 (2006): 741–46. http://dx.doi.org/10.3182/20060829-4-cn-2909.00123.

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Zhao, Yong Sheng, Yi Ming Bai, and Wen Hui Wu. "Adaptive Fuzzy Controller Design for Dynamic Positioning System." Applied Mechanics and Materials 541-542 (March 2014): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1256.

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An adaptive fuzzy controller for dynamic positioning (DP) system is designed. The controller utilizes Backstepping algorithm as the adaptive law and uses a fuzzy system for approximating the disturbances and uncertainties. The proposed adaptive fuzzy controller is proven to be uniform bounded in the sense of Lyapunov. Simulation results show that DP vessel with the adaptive fuzzy controller would be more adaptive with environmental interference and ship parametric uncertainty.

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Panigrahi, Paresh Kumar, and Sukanta Nayak. "Numerical investigation of non-probabilistic systems using Inner Outer Direct Search optimization technique." AIMS Mathematics 8, no. 9 (2023): 21329–58. http://dx.doi.org/10.3934/math.20231087.

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<abstract> <p>Fuzzy systems of equations often appear while modeling physical systems with imprecisely defined parameters. Many mathematical methods are available to investigate them, but handling them is challenging due to the computational complexity and difficult implementation. As such, in this paper, the Inner-Outer Direct Search (IODS) optimization technique is extended in the fuzzy environment to solve a fuzzy system of nonlinear equations. The main purpose of the extension is to study the system variables in the presence of fuzzy information. To manage fuzziness, a fuzzy pa

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Yang, Yue, Guo Qing Li, and Zhen Hao Wang. "Probabilistic Assessment of Voltage Stability of Power System with Wind Farm Based on Credibility Theory." Applied Mechanics and Materials 448-453 (October 2013): 2569–72. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2569.

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The static voltage stability of power system with wind farm is simulated by fuzzy simulation. This method is able to calculate not only the expectations and standard deviations of diagonal elements of Jacobian reduction matrix with the uncertain parameters but also the static voltage stability indicator based on the credibility theory. The method is characterized in that the impact of the assumptions of distribution function type of uncertain parameters and parametric statistics is avoided by this method. The calculated results are impacted only according to the actual changed range and the ty

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Wen, Shenglin, and Ye Yan. "Robust Adaptive Fuzzy Control for a Class of Uncertain MIMO Nonlinear Systems with Input Saturation." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/561397.

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This paper studies the robust adaptive fuzzy control design problem for a class of uncertain multiple-input and multiple-output (MIMO) nonlinear systems in the presence of actuator amplitude and rate saturation. In the control scheme, fuzzy logic systems are used to approximate unknown nonlinear systems. To compensate the effect of input saturations, an auxiliary system is constructed and the actuator saturations then can be augmented into the controller. The modified tracking error is introduced and used in fuzzy parameter update laws. Furthermore, in order to deal with fuzzy approximation er

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Patre, Balasaheb M., and R. J. Bhiwani. "Robust controller design for fuzzy parametric uncertain systems: An optimal control approach." ISA Transactions 52, no. 2 (2013): 184–91. http://dx.doi.org/10.1016/j.isatra.2012.10.002.

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Basal, Mohamed Abdelhakim, and Mohammed Fadhil Ahmed. "Mathematical Modeling of a Unicycle Robot and Use of Advanced Control Methodologies for Multi-Paths Tracking Taking into Account Surface Friction Factors." Journal of Robotics and Control (JRC) 6, no. 1 (2025): 142–54. https://doi.org/10.18196/jrc.v6i1.24361.

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The research aims to design robust controllers that achieve the stability of a single-wheeled robot under the presence of friction factors and to track different parameters to verify robust stability. This paper presents a new study of the unicycle robot system that is controlled using advanced control methodologies. The paper aims to improve the work of the unicycle robot system, due to its effective impact on improving the performance of driving the robot, which is reflected in the smoothness of the vehicle speed change, ensuring the stability of the robot and the safety of the investor in t

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Al-Smadi, Mohammed, Hemen Dutta, Shatha Hasan, and Shaher Momani. "On numerical approximation of Atangana-Baleanu-Caputo fractional integro-differential equations under uncertainty in Hilbert Space." Mathematical Modelling of Natural Phenomena 16 (2021): 41. http://dx.doi.org/10.1051/mmnp/2021030.

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Many dynamic systems can be modeled by fractional differential equations in which some external parameters occur under uncertainty. Although these parameters increase the complexity, they present more acceptable solutions. With the aid of Atangana-Baleanu-Caputo (ABC) fractional differential operator, an advanced numerical-analysis approach is considered and applied in this work to deal with different classes of fuzzy integrodifferential equations of fractional order fitted with uncertain constraints conditions. The fractional derivative of ABC is adopted under the generalized H-differentiabil

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J. Fard, Mahtab, Sattar Ameri, Syed Reza Hejazi, and Ali Zeinal Hamadani. "One-unit repairable systems with active and standby redundancy and fuzzy parameters." International Journal of Quality & Reliability Management 34, no. 3 (2017): 446–58. http://dx.doi.org/10.1108/ijqrm-05-2011-0075.

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Purpose The purpose of this paper is to propose a procedure to construct the membership functions for a one-unit repairable system, which has both active and standby redundancy. The coverage factor is the same for the operating and standby unit failure. Design/methodology/approach The α-cut approach is used to extract a family of conventional crisp intervals from the fuzzy repairable system for the desired system characteristics. This can be determined with a set of non-linear parametric programing using the membership functions. Findings When system characteristics are governed by the members

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Zaitseva, Alina A., Matvey V. Belyavtsev, Evgeny A. Zaitsev, Dmitriy K. Kilmakov, Dim R. Kultaev, and Zaliya R. Sayfutdinova. "SYNTHESIS OF A HELICOPTER ENGINE CONTROL ALGORITHM UNDER CONDITIONS OF STRUCTURAL AND PARAMETRIC UNCERTAINTY." Electrical and data processing facilities and systems 20, no. 2 (2024): 123–28. http://dx.doi.org/10.17122/1999-5458-2024-20-2-123-128.

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Relevance The problem of synthesizing an algorithm for controlling helicopter engines under conditions of structural and parametric uncertainty arising during the transition to manual control mode and subsequent return to the initial automatic mode is considered. The relevance of this study lies in the development of a method for synthesizing a multimode control system for each of the helicopter powerplant engines based on the principle of fuzzy stabilization under conditions of structural and parametric uncertainty, which ensures the desired behavior of the entire ensemble of controlled varia

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Jena, Rajarama Mohan, Snehashish Chakraverty, and Dumitru Baleanu. "On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage." Mathematics 7, no. 8 (2019): 689. http://dx.doi.org/10.3390/math7080689.

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The present paper investigates the numerical solution of an imprecisely defined nonlinear coupled time-fractional dynamical model of marriage (FDMM). Uncertainties are assumed to exist in the dynamical system parameters, as well as in the initial conditions that are formulated by triangular normalized fuzzy sets. The corresponding fractional dynamical system has first been converted to an interval-based fuzzy nonlinear coupled system with the help of a single-parametric gamma-cut form. Further, the double-parametric form (DPF) of fuzzy numbers has been used to handle the uncertainty. The fract

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Goel, Ankur, and Akhilesh Swarup. "Adaptive Fuzzy High-Order Super-Twisting Sliding Mode Controller for Uncertain Robotic Manipulator." Journal of Intelligent Systems 26, no. 4 (2017): 697–715. http://dx.doi.org/10.1515/jisys-2016-0020.

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AbstractThis paper presents a novel adaptive fuzzy high-order super-twisting sliding mode controller, based on the modified super-twisting control (STC), to achieve accurate trajectory tracking for a robotic manipulator with unknown structured uncertainties, parametric uncertainties, and time-varying external disturbances. Initially, a non-linear homogeneous sliding manifold is designed to achieve finite-time convergence, better robustness, and good transient characteristics. Afterwards, conventional STC is modified with the new sliding surface that eliminates the limitation of STC application

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D., Srinivasa Rao, Siva Kumar M., and Ramalinga Raju M. "Enhancement of robust performance for fuzzy parametric uncertain time‐delay systems using differential evolution algorithm." International Journal of Robust and Nonlinear Control 29, no. 18 (2019): 6337–56. http://dx.doi.org/10.1002/rnc.4694.

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Xu, T. Y., and X. S. Qin. "Applying an Extended Fuzzy Parametric Approach to the Problem of Water Allocations." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/647569.

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An extended fuzzy parametric programming (EFPP) model was proposed for supporting water resources allocation problems under uncertainty. EFPP deals with flexible constraints (i.e., fuzzy relationships) by allowing violation of constraints at certain satisfaction degrees (i.e.,αlevels) and employs fuzzy ranking method to handle trapezoidal-shaped fuzzy coefficients. The objective function is defuzzified by usingβcuts and weighting factors. The applicability of EFPP was demonstrated by a numerical example and a water resources allocation case. A series of decision alternatives at various satisfa

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Xia, Lingqin, Guang Chen, Tao Wu, Yu Gao, Ardashir Mohammadzadeh, and Ebrahim Ghaderpour. "Optimal Intelligent Control for Doubly Fed Induction Generators." Mathematics 11, no. 1 (2022): 20. http://dx.doi.org/10.3390/math11010020.

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For the first time, a novel concept of merging computational intelligence (the type-2 fuzzy system) and control theory (optimal control) for regulator and reference tracking in doubly fed induction generators (DFIGs) is proposed in this study. The goal of the control system is the reference tracking of torque and stator reactive power. In this case, the type-2 fuzzy controller is activated to enhance the performance of the optimum control. For instance, in abrupt changes of the reference signal or uncertainty in the parameters, the type-2 fuzzy system performs a complementary function. Both pa

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Ahmad, Nur. "Robust ℋ∞-Fuzzy Logic Control for Enhanced Tracking Performance of a Wheeled Mobile Robot in the Presence of Uncertain Nonlinear Perturbations". Sensors 20, № 13 (2020): 3673. http://dx.doi.org/10.3390/s20133673.

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Motion control involving DC motors requires a closed-loop system with a suitable compensator if tracking performance with high precision is desired. In the case where structural model errors of the motors are more dominating than the effects from noise disturbances, accurate system modelling will be a considerable aid in synthesizing the compensator. The focus of this paper is on enhancing the tracking performance of a wheeled mobile robot (WMR), which is driven by two DC motors that are subject to model parametric uncertainties and uncertain deadzones. For the system at hand, the uncertain no

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Kamal, Elkhatib, Abdel Aitouche, Walaa Mohammed, and Abdel Azim Sobaih. "Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller." International Journal of Emerging Electric Power Systems 17, no. 5 (2016): 485–95. http://dx.doi.org/10.1515/ijeeps-2016-0075.

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Abstract This paper presents a robust controller for a variable speed wind turbine with a squirrel cage induction generator (SCIG). For variable speed wind energy conversion system, the maximum power point tracking (MPPT) is a very important requirement in order to maximize the efficiency. The system is nonlinear with parametric uncertainty and subject to large disturbances. A Takagi-Sugeno (TS) fuzzy logic is used to model the system dynamics. Based on the TS fuzzy model, a controller is developed for MPPT in the presence of disturbances and parametric uncertainties. The proposed technique en

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Shouran, Mokhtar, Fatih Anayi, Michael Packianather, and Monier Habil. "Different Fuzzy Control Configurations Tuned by the Bees Algorithm for LFC of Two-Area Power System." Energies 15, no. 2 (2022): 657. http://dx.doi.org/10.3390/en15020657.

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This study develops and implements a design of the Fuzzy Proportional Integral Derivative with filtered derivative mode (Fuzzy PIDF) for Load Frequency Control (LFC) of a two-area interconnected power system. To attain the optimal values of the proposed structure’s parameters which guarantee the best possible performance, the Bees Algorithm (BA) and other optimisation tools are used to accomplish this task. A Step Load Perturbation (SLP) of 0.2 pu is applied in area one to examine the dynamic performance of the system with the proposed controller employed as the LFC system. The supremacy of Fu

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Juuso, Esko K. "Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation." Open Engineering 10, no. 1 (2020): 712–20. http://dx.doi.org/10.1515/eng-2020-0080.

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AbstractIntegration of domain expertise and uncertainty processing is increasingly important in automation solutions which rely on data analytics and artificial intelligence. We need a level to assess what is approximately correct. Uncertainties of the inputs are taken into account by using fuzzy numbers as the inputs of different fuzzy and parametric systems. Nonlinear scaling functions (NSFs) integrate these solutions and make them easier to tune. Fuzzy rule-based systems are represented with scaled fuzzy inputs. Membership functions (MFs) can be developed from NSFs and existing MFs can be u

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Narayan, Jyotindra, and Santosha K. Dwivedy. "Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances." Applied Bionics and Biomechanics 2021 (June 11, 2021): 1–20. http://dx.doi.org/10.1155/2021/5573041.

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The design of an accurate control scheme for a lower limb exoskeleton system has few challenges due to the uncertain dynamics and the unintended subject’s reflexes during gait rehabilitation. In this work, a robust linear quadratic regulator- (LQR-) based neural-fuzzy (NF) control scheme is proposed to address the effect of payload uncertainties and external disturbances during passive-assist gait training. Initially, the Euler-Lagrange principle-based nonlinear dynamic relations are established for the coupled system. The input-output feedback linearization approach is used to transform the n

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Zeghlache, Samir, Hilal Rahali, Ali Djerioui, Hemza Mekki, Loutfi Benyettou, and Mohamed Fouad Benkhoris. "Adaptive Integral Sliding Mode Control with Chattering Elimination Considering the Actuator Faults and External Disturbances for Trajectory Tracking of 4Y Octocopter Aircraft." Processes 12, no. 11 (2024): 2431. http://dx.doi.org/10.3390/pr12112431.

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This paper presents a control strategy for a 4Y octocopter aircraft that is influenced by multiple actuator faults and external disturbances. The approach relies on a disturbance observer, adaptive type-2 fuzzy sliding mode control scheme, and type-1 fuzzy inference system. The proposed control approach is distinct from other tactics for controlling unmanned aerial vehicles because it can simultaneously compensate for actuator faults and external disturbances. The suggested control technique incorporates adaptive control parameters in both continuous and discontinuous control components. This

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Danaboyina, Srinivasa Rao, Siva Kumar Mangipudi, and Ramalinga Raju Manyala. "Two-Degree-of-Freedom Robust Controller Design Approach for Fuzzy Parametric Uncertain Systems using Particle Swarm Optimization." IETE Journal of Research 65, no. 3 (2018): 397–409. http://dx.doi.org/10.1080/03772063.2018.1431064.

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Pérez-Pérez, Esvan-Jesús, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, and Ildeberto Santos-Ruiz. "Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters." Mathematical and Computational Applications 30, no. 1 (2024): 2. https://doi.org/10.3390/mca30010002.

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This work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF). The approach involves two key steps: first, identifying the nonlinear pipeline system using an adaptive neuro-fuzzy inference system (ANFIS), resulting in a set of Takagi–Sugeno fuzzy models derived from pressure and flow data, and second, implementing a neuro-fuzzy ZKF bench to detect pipeline leaks and sensor faults with adaptive thresholds. The learning phase of the neuro-fuzzy systems considers only fault-free data. Fault isolation is ach

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Dhikra, Saoudi. "CONTROLLER DESIGN BASED ON FUZZY OBSERVERS FOR T-S FUZZY BILINEAR MODELS." International Journal of Control Theory and Computer Modeling (IJCTCM) 6, no. 1/2 (2016): 01–16. https://doi.org/10.5121/ijctcm.2016.6201.

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This article is devoted to the design of a fuzzy-observer-based control for a class of nonlinear systems with bilinear terms. The class of systems considered is the Takagi-Sugeno (T-S) fuzzy bilinear model. A new procedure to design the observer-based fuzzy controller for this class of systems is proposed. The aim is to design the fuzzy controller and the fuzzy observer of the augmented system separately in order to guarantee that the error between the state and its estimation converges faster to zero. By using the Lyapunov function, sufficient conditions are derived such that the closed-loop

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Jafar, Muhammad Naveed, Faiz Ullah, Kainat Muniba, and Asma Riffat. "Distance-based Similarity Measures of Hypersoft Sets under Uncertain Environment and Application in Customer Support Systems." Spectrum of Engineering and Management Sciences 2, no. 1 (2024): 161–71. https://doi.org/10.31181/sems21202412a.

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Intuitionistic fuzzy hypersoft sets (IFHSS) represent a novel conceptual framework poised to overcome the limitations associated with intuitionistic fuzzy soft sets (IFSS) concerning the representation of multi-argument domains for parameter approximation. This model offers enhanced flexibility and reliability by facilitating the categorization of parameters into pertinent parametric valued sets. This study investigates the application of the IFHSS theory in enhancing similarity measurement within ChatBot systems. Through experimentation and analysis, the research demonstrates the efficacy of

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Chen, Yung-Hsiang. "Nonlinear Adaptive Fuzzy Hybrid Sliding Mode Control Design for Trajectory Tracking of Autonomous Mobile Robots." Mathematics 13, no. 8 (2025): 1329. https://doi.org/10.3390/math13081329.

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This study proposes a novel nonlinear adaptive fuzzy hybrid sliding mode (AFHSM) control strategy for the precise trajectory tracking of autonomous mobile robots (AMRs) equipped with four Mecanum wheels. The control design addresses the inherent complexities of such platforms, which include strong system nonlinearities, significant parametric uncertainties, torque saturation effects, and external disturbances that can adversely affect dynamic performance. Unlike conventional approaches that rely on model linearization or dimension reduction, the proposed AFHSM control retains the full nonlinea

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Ullah, Nasim, and Shao Ping Wang. "Backstepping Control of Electrical Load Simulator with Adaptive Tracking Performance Controller." Applied Mechanics and Materials 245 (December 2012): 310–15. http://dx.doi.org/10.4028/www.scientific.net/amm.245.310.

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Electrical Load simulator (ELS) is an important aerodynamics forces/torque loading device which is used for qualification of flight actuation system in ground based experiments. This paper focuses on Backstepping control design with fuzzy logic compensator for extra torque disturbance. To reduce number of fuzzy rules and processing time LuGre model based friction compensation scheme is proposed. Practically fuzzy logic compensation may induce approximation error. A novel PI type tracking performance controller is proposed to compensate tracking error due to parametric uncertainty in the ELS sy

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Lazarieva, Natalia. "Parametric Optimization of the Hierarchical Fuzzy Model of Control with Transfer of Fuzzy Values of Intermediate Data." Electronics and Control Systems 2, no. 84 (2025): 29–33. https://doi.org/10.18372/1990-5548.84.20190.

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The subject of the study is the intellectualization of the technological process of controlling complex objects in order to intellectualize and replace the labor of a human operator. In conditions that are difficult to describe by mathematical methods due to incompleteness and uncertainty, a hybrid neuro-fuzzy model with a hierarchical structure is used to control the process. The aim of the article is to study and develop a learning algorithm for the Mamdani→Sugeno model with the transfer of fuzzy intermediate data between hierarchical levels, implemented by an adaptive neural network. To ens

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Wang, Jin, and Min Zhang. "Backstepping-Based Adaptive Fuzzy Sliding Mode Control for Autopilot Design." Applied Mechanics and Materials 365-366 (August 2013): 853–58. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.853.

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A backstepping approach, combined with adaptive fuzzy sliding mode control, is used to design a missile autopilot in this paper. The proposed scheme separated the plant into two subsystems, such that single controllers can be designed and therefore the stability of entire system is reached automatically. The single control laws are designed using sliding mode control based on the Lyapunov stability theorem, and the adaptive law is derived to adapt the value of the lumped uncertainty in real-time. Moreover, with the universal approximation ability, an adaptive fuzzy system is used to approximat

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Li, I.-Hsum, Hsin-Han Chiang, and Lian-Wang Lee. "Development of A Linear Delta Robot with Three Horizontal-Axial Pneumatic Actuators for 3-DOF Trajectory Tracking." Applied Sciences 10, no. 10 (2020): 3526. http://dx.doi.org/10.3390/app10103526.

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This paper focuses on developing a pneumatic-driven and horizontal-structure linear delta robot (PH-LDR) and increasing its trajectory tracking performance on the three-degrees-of-freedom (3-DOF) space. With the investigation of inverse and forward kinematics, the parallel mechanism of PH-LDR is designed by using three high-power and low-cost rod-less pneumatic actuators (PAs) to track 3-DOF motion, and this has a horizontal structure to enlarge the workspace. Since the PH-LDR features nonlinear coupling among its three axes and is disturbed by the three high-nonlinear rod-less PAs, the tracki

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Babaei, A. R., M. Mortazavi, and M. B. Menhaj. "Robust and computational efficient autopilot design: A hybrid approach based on classic control and genetic-fuzzy sliding mode control." Aeronautical Journal 117, no. 1194 (2013): 839–59. http://dx.doi.org/10.1017/s0001924000008484.

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Abstract The purpose of this paper is developing an efficient flight control strategy in terms of time response characteristics, robustness with respect to both parametric uncertainties and un-modeled nonlinear terms, number of required measurements, and computational burden. The proposed method is based on combination of a classic controller as principal section of the autopilot and a multi-objective genetic algorithm-based fuzzy output sliding mode control (FOSMC). FOSMC not only modifies robustness of the classic controller against uncertainties and external disturbances, but also modifies

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Zheng, Wei, Hongbin Wang, Shuhuan Wen, Hongrui Wang, and Zhiming Zhang. "Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and T-S fuzzy model." Journal of Intelligent & Fuzzy Systems 35, no. 5 (2018): 5755–69. http://dx.doi.org/10.3233/jifs-17934.

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Novozhylova, М., R. Gudak, and О. Chub. "EVALUATION OF NATURAL DISASTER RESPONCE EFFECTIVENESS WITH FUZZY LOGIC METHODS." Municipal economy of cities 1, no. 154 (2020): 126–32. http://dx.doi.org/10.33042/2522-1809-2020-1-154-126-132.

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The model and method of efficiency estimation for disaster relief process under hydrological emergency of natural character on the basis of fuzzy logic have been offered. It is determined that the implementation of a natural emergency can lead to disruption of the sustainable functioning of the city, region and country as a whole against the background of an constantly increasing human impact on the environment, climate change and other conditions. Natural hydrological emergencies, such as floods, levees, etc., are the most widespread in the world and affect a large number of people, especiall

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Kumara, Varuna, and Ezhilarasan Ganesan. "Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 631. http://dx.doi.org/10.11591/ijai.v13.i1.pp631-638.

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Wastewater treatment plants (WWTPs) are plagued by nonlinearities, uncertainties, and disturbances that degrade control performance and may even lead to severe instability. The WWTP control issue has received a lot of research and development during the last several decades. One well-known way of designing a resilient control system is called sliding mode control (SMC). The SMC's greatest strength lies in its innate resistance to disturbances and uncertainty. Incorporating fuzzy SMC would eliminate the chattering effect, the primary drawback of traditional sliding-mode controller, without sacr

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