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Relevant bibliographies by topics / Lyapunov-based approach

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Academic literature on the topic 'Lyapunov-based approach'

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

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Journal articles on the topic "Lyapunov-based approach"

1

Hoang, H., F. Couenne, C. Jallut, and Y. Le Gorrec. "Thermodynamic approach for Lyapunov based control." IFAC Proceedings Volumes 42, no. 11 (2009): 357–62. http://dx.doi.org/10.3182/20090712-4-tr-2008.00056.

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Dixon, W. E., E. Zergeroglu, D. M. Dawson, and B. T. Costic. "Repetitive learning control: a Lyapunov-based approach." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32, no. 4 (2002): 538–45. http://dx.doi.org/10.1109/tsmcb.2002.1018772.

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Kansha, Yasuki, Li Jia, and Min-Sen Chiu. "Self-tuning PID controllers based on the Lyapunov approach." Chemical Engineering Science 63, no. 10 (2008): 2732–40. http://dx.doi.org/10.1016/j.ces.2008.02.026.

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Abdelmalek, Ibtissem, Noureddine Goléa, and Mohamed Hadjili. "A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models." International Journal of Applied Mathematics and Computer Science 17, no. 1 (2007): 39–51. http://dx.doi.org/10.2478/v10006-007-0005-4.

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A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy ModelsIn this paper, new non-quadratic stability conditions are derived based on the parallel distributed compensation scheme to stabilize Takagi-Sugeno (T-S) fuzzy systems. We use a non-quadratic Lyapunov function as a fuzzy mixture of multiple quadratic Lyapunov functions. The quadratic Lyapunov functions share the same membership functions with the T-S fuzzy model. The stability conditions we propose are less conservative and stabilize also fuzzy systems which do not admit a quadratic stabilization. The prop

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Senthilkumar, L., M. Meenakshi, and J. Vasantha Kumar. "Lyapunov Optimization Based Cross Layer Approach for Green Cellular Network." Journal of Green Engineering 5, no. 2 (2016): 129–50. http://dx.doi.org/10.13052/jge1904-4720.523.

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Margaliot, Michael, and Gideon Langholz. "Fuzzy Lyapunov-based approach to the design of fuzzy controllers." Fuzzy Sets and Systems 106, no. 1 (1999): 49–59. http://dx.doi.org/10.1016/s0165-0114(98)00356-x.

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Hoang, N. Ha, Denis Dochain, and Nicolas Hudon. "A thermodynamic approach towards Lyapunov based control of reaction rate." IFAC Proceedings Volumes 47, no. 3 (2014): 9117–22. http://dx.doi.org/10.3182/20140824-6-za-1003.01958.

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Mutlu, Ilhan, Frank Schrödel, Naim Bajcinca, Dirk Abel, and M. Turan Söylemez. "Lyapunov Equation Based Stability Mapping Approach: A MIMO Case Study." IFAC-PapersOnLine 49, no. 9 (2016): 130–35. http://dx.doi.org/10.1016/j.ifacol.2016.07.512.

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Masoumnezhad, Mojtaba, Maziar Rajabi, Amirahmad Chapnevis, et al. "An Approach for the Global Stability of Mathematical Model of an Infectious Disease." Symmetry 12, no. 11 (2020): 1778. http://dx.doi.org/10.3390/sym12111778.

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The global stability analysis for the mathematical model of an infectious disease is discussed here. The endemic equilibrium is shown to be globally stable by using a modification of the Volterra–Lyapunov matrix method. The basis of the method is the combination of Lyapunov functions and the Volterra–Lyapunov matrices. By reducing the dimensions of the matrices and under some conditions, we can easily show the global stability of the endemic equilibrium. To prove the stability based on Volterra–Lyapunov matrices, we use matrices with the symmetry properties (symmetric positive definite). The r

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Kuzmych, Olena, Abdel Aitouche, Ahmed El Hajjaji, and Jerome Bosche. "Nonlinear control for a diesel engine: A CLF-based approach." International Journal of Applied Mathematics and Computer Science 24, no. 4 (2014): 821–35. http://dx.doi.org/10.2478/amcs-2014-0061.

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Abstract In this paper, we propose a control Lyapunov function based on a nonlinear controller for a turbocharged diesel engine. A model-based approach is used which predicts the experimentally observed engine performance for a biodiesel. The basic idea is to develop an inverse optimal control and to employ a Lyapunov function in order to achieve good performances. The obtained controller gain guarantees the global convergence of the system and regulates the flows for the variable geometry turbocharger as well as exhaust gas recirculation systems in order to minimize the NOx emission and the s

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Dissertations / Theses on the topic "Lyapunov-based approach"

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Marinósson, Sigurour Freyr. "Stability analysis of nonlinear systems with linear programming a Lyapunov functions based approach /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=982323697.

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Kojima, Chiaki. "Studies on Lyapunov stability and algebraic Riccati equation for linear discrete-time systems based on behavioral approach." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/135968.

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Armiyoon, Ali Reza. "Exploring yaw and roll dynamics of ground vehicles using TS fuzzy approach and a novel method for stability analysis based on Lyapunov exponents." Springer, 2015. http://hdl.handle.net/1993/31038.

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Vehicle yaw stabilization and rollover prevention are two key factors in safety of vehicles. Designing a controller that can address both of the above safety concerns is of interest. In addition, it is essential that the performance of such a controller is evaluated properly. This can be done using a proper stability analysis. The above research problem is challenging for two reasons. First, maintaining both of the objectives, yaw stabilization and rollover mitigation, is contradictory at some instances, specifically when the vehicle is close to the verge of wheel lift-off. Second, the complex

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Zekraoui, Salim. "Contrôle et estimation en temps fini de certaines classes d'EDP." Electronic Thesis or Diss., Centrale Lille Institut, 2023. http://www.theses.fr/2023CLIL0028.

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L'objectif principal de cette thèse est d'explorer et d'analyser les problèmes d'estimation et destabilisation non-asymptotique (en temps fini, fixe, et prescrit) de certaines classes de systèmes de dimensioninfinie, notamment les systèmes linéaires invariants en temps avec retards (ponctuels ou distribués) d'entrée oude sortie et les équations aux dérivées partielles (EDP) de type réaction-diffusion. Comme les résultats existantssur ces classes de systèmes sont peu nombreux, nous commençons par revoir les concepts et les résultats sur lesoutils non asymptotiques pour les systèmes de dimension

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Khorrami, Farshad. "Asymptotic perturbation and Lyapunov stability based approaches for control of flexible and rigid robot manipulators /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487592050230916.

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Gasmi, Noussaiba. "Observation et commande d'une classe de systèmes non linéaires temps discret." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0177/document.

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L’analyse et la synthèse des systèmes dynamiques ont connu un développement important au cours des dernières décennies comme l’atteste le nombre considérable des travaux publiés dans ce domaine, et continuent d’être un axe de recherche régulièrement exploré. Si la plupart des travaux concernent les systèmes linéaires et non linéaires temps continu, peu de résultats ont étaient établis dans le cas temps discret. Les travaux de cette thèse portent sur l’observation et la commande d’une classe de systèmes non linéaires à temps discret. Dans un premier temps, le problème de synthèse d’observateur

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Gasmi, Noussaiba. "Observation et commande d'une classe de systèmes non linéaires temps discret." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0177.

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L’analyse et la synthèse des systèmes dynamiques ont connu un développement important au cours des dernières décennies comme l’atteste le nombre considérable des travaux publiés dans ce domaine, et continuent d’être un axe de recherche régulièrement exploré. Si la plupart des travaux concernent les systèmes linéaires et non linéaires temps continu, peu de résultats ont étaient établis dans le cas temps discret. Les travaux de cette thèse portent sur l’observation et la commande d’une classe de systèmes non linéaires à temps discret. Dans un premier temps, le problème de synthèse d’observateur

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Jo, Jang Hyen. "On the lyapunov-based approach to robustness bounds." Thesis, 1991. http://hdl.handle.net/1957/37156.

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The objective of this investigation is the development of improved techniques for the estimation of robustness for dynamic systems with structured uncertainties, a problem which was approached by application of the Lyapunov direct method. This thesis considers the sign properties of the Lyapunov function derivative integrated along finite intervals of time, in place of the traditional method of the sign properties of the derivative itself. This proposed approach relaxes the sufficient conditions of stability, and is used to generate techniques for the robust design of control systems with stru

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Mongkolcheep, Kathira. "A Lyapunov Exponent Approach for Identifying Chaotic Behavior in a Finite Element Based Drillstring Vibration Model." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-3271.

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The purpose of this work is to present a methodology to predict vibrations of drilllstrings for oil recovery service. The work extends a previous model of the drill collar between two stabilizers in the literature to include drill collar flexibility utilizing a modal coordinate condensed, finite element approach. The stiffness due to the gravitational forces along the drillstring axis is included. The model also includes the nonlinear effects of drillstring-wellbore contact, friction and quadratic damping. Bifurcation diagrams are presented to illustrate the effects of speed, friction at wellb

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[Verfasser], Sigurður Freyr Marinósson. "Stability analysis of nonlinear systems with linear programming : a Lyapunov functions based approach / von Sigurður Freyr Marinósson." 2002. http://d-nb.info/982323697/34.

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Books on the topic "Lyapunov-based approach"

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name, No. Nonlinear control of engineering systems: A Lyapunov-based approach. Birkhauser, 2003.

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Nikravesh, Seyed Kamaleddin Yadavar. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach. Taylor & Francis Group, 2018.

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Nonlinear systems stability analysis : Lyapunov-based approach. CRC Press, 2013.

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Nikravesh, Seyed Kamaleddin Yadavar. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach. Taylor & Francis Group, 2017.

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Nikravesh, Seyed Kamaleddin Yadavar. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach. Taylor & Francis Group, 2018.

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Nikravesh, Seyed Kamaleddin Yadavar. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach. Taylor & Francis Group, 2018.

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Nikravesh, Seyed Kamaleddin Yadavar. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach. Taylor & Francis Group, 2018.

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Nonlinear systems stability analysis : Lyapunov-based approach. CRC Press, 2013.

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Jo, Jang Hyen. On the lyapunov-based approach to robustness bounds. 1991.

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Jo, Jang Hyen. On the lyapunov-based approach to robustness bounds. 1991.

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Book chapters on the topic "Lyapunov-based approach"

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Saldivar Márquez, Martha Belem, Islam Boussaada, Hugues Mounier, and Silviu-Iulian Niculescu. "Stick-Slip Control: Lyapunov-Based Approach." In Analysis and Control of Oilwell Drilling Vibrations. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15747-4_11.

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Das Sharma, Kaushik, Amitava Chatterjee, and Anjan Rakshit. "Fuzzy Controller Design II: Lyapunov Strategy-Based Adaptive Approach." In Cognitive Intelligence and Robotics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1298-4_4.

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You, Renyang, Quan Liu, Shenghui Guo, and Zhiming Cui. "A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9849-3_21.

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Boukili, Yassine, A. Pedro Aguiar, and Adriano Carvalho. "Direct Power Control of a Doubly Fed Induction Generator Using a Lyapunov Based State Space Approach." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58653-9_60.

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Liu, Le, Aleksandra Lekić, and Marjan Popov. "Robust Adaptive Back-Stepping Control Approach Using Quadratic Lyapunov Functions for MMC-Based HVDC Digital Twins." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19762-8_9.

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Puzyrov, Volodymyr, Nataliya Losyeva, Nina Savchenko, Oksana Nikolaieva, and Olga Chashechnikova. "Lyapunov Function-Based Approach to Estimate Attractors for a Dynamical System with the Polynomial Right Side." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16651-8_46.

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Yang, Zhengfeng, Li Zhang, Xia Zeng, Xiaochao Tang, Chao Peng, and Zhenbing Zeng. "Hybrid Controller Synthesis for Nonlinear Systems Subject to Reach-Avoid Constraints." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37706-8_16.

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AbstractThere is a pressing need for learning controllers to endow systems with properties of safety and goal-reaching, which are crucial for many safety-critical systems. Reinforcement learning (RL) has been deployed successfully to synthesize controllers from user-defined reward functions encoding desired system requirements. However, it remains a significant challenge in synthesizing provably correct controllers with safety and goal-reaching requirements. To address this issue, we try to design a special hybrid polynomial-DNN controller which is easy to verify without losing its expressiven

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Liu, J., D. Muñoz de la Peña, and P. D. Christofides. "Lyapunov-Based Distributed MPC Schemes: Sequential and Iterative Approaches." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7006-5_30.

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Panagou, Dimitra, Dušan M. Stipanović, and Petros G. Voulgaris. "Distributed Control of Robot Swarms." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch070.

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This chapter considers the problem of multi-agent coordination and control under multiple objectives, and presents a set-theoretic formulation which is amenable to Lyapunov-based analysis and control design. A novel class of Lyapunov-like barrier functions is introduced and used to encode multiple control objectives, such as collision avoidance, proximity maintenance and convergence to desired destinations. The construction is based on recentered barrier functions and on maximum approximation functions. Thus, a single Lyapunov-like function is used to encode the constrained set of each agent,

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Khettab, Khatir, and Yassine Bensafia. "An Adaptive Interval Type-2 Fuzzy Sliding Mode Control Scheme for Fractional Chaotic Systems Synchronization With Chattering Elimination." In Advanced Synchronization Control and Bifurcation of Chaotic Fractional-Order Systems. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5418-9.ch004.

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This chapter presents a fractional adaptive interval type-2 fuzzy logic control strategy based on active fractional sliding mode controller (FAIT2FSMC) to synchronize tow chaotic fractional-order systems. The interval type-2 fuzzy logic systems (IT2FLS) are used to approximate the plant dynamics represented by unknown functions of the system, and the IT2F adaptation law adjusts the consequent parameters of the rules based on a Lyapunov synthesis approach. One of the main contributions in this work is the use of an IT2F and an adaptive fractional order PIλ control law to eliminate the chatterin

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Conference papers on the topic "Lyapunov-based approach"

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Braun, Philipp, Tarek Hamel, and Robert Mahony. "Robot navigation through cluttered environments: A Lyapunov based control design approach." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886802.

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Kokolakis, Nick-Marios T., and Kyriakos G. Vamvoudakis. "Safe Predefined-Time Stability and Optimal Feedback Control: A Lyapunov-based Approach." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644584.

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Golgoon, Melika, Alireza Mohammadi, and Mark W. Spong. "A Control Lyapunov Function-Based Approach for Particle Nanomanipulation via Optical Tweezers." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644324.

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Qiu, Zitian, Jianfeng Wen, Ziyu Fan, Chia-Chi Chu, and Lin Jiang. "An Iteration-free Approach for Stability Analysis of DC Microgrids based on Lyapunov Functions." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061404.

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Neto, Jos� R. Torraca, Bruno D. O. Capron, Argimiro R. Secchi, and Antonio d. R. Chanona. "Safe Reinforcement Learning with Lyapunov-Based Constraints for Control of an Unstable Reactor." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.137298.

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This work presents a Lyapunov-based framework for safe reinforcement learning (RL) applied to the control of an unstable reactor. The proposed method imposes stability constraints on the value and Q-functions through a Lyapunov candidate function defined as the negative of these functions, L(s)=-V(s) and L(s,a)=-Q(s,a). Constraints enforce positivity of the Lyapunov candidate function and non-positive time derivatives, promoting monotonic behavior aligned with Lyapunov stability conditions. The framework was tested on both on-policy (PPO) and off-policy (SAC, TD3, and DDPG) RL algorithms, with

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Horch, Mohamed, Lotfi Baghli, Boumédiène Abdelmadjid, and Maamer Yahiaoui. "A New Robust Synergetic Sliding Mode Approach Based on the Lyapunov Theorem for MPPT Controller of Wind Turbine." In 2024 3rd International Conference on Advanced Electrical Engineering (ICAEE). IEEE, 2024. https://doi.org/10.1109/icaee61760.2024.10783178.

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Schrodel, Frank, Hong Liu, Ramy Elghandour, and Dirk Abel. "Lyapunov-based stability region computation approach." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330995.

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Castillo, Ismael, Martin Steinberger, Leonid Fridman, Jaime A. Moreno, and Martin Horn. "Saturated Super-Twisting Algorithm: Lyapunov based approach." In 2016 14th International Workshop on Variable Structure Systems (VSS). IEEE, 2016. http://dx.doi.org/10.1109/vss.2016.7506928.

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Chih-Fu Chang and Li-Chen Fu. "A formation control framework based on Lyapunov approach." In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2008. http://dx.doi.org/10.1109/iros.2008.4651041.

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Abdollahpouri, M., A. Khaki-Sedigh, and A. Fatehi. "Lyapunov based multiple model predictive control: An LMI approach." In 2012 American Control Conference - ACC 2012. IEEE, 2012. http://dx.doi.org/10.1109/acc.2012.6314811.

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Reports on the topic "Lyapunov-based approach"

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Dixon, Warren. Image-Based Visual Servoing for Robotic Systems: A Nonlinear Lyapunov-Based Control Approach. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/835391.

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Dixon, Warren. Image-Based Visual Servoing for Robotic Systems: A Nonlinear Lyapunov-Based Control Approach. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/835393.

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Dixon, Warren. Image-Based Visual Servoing for Robotic Systems: A Nonlinear Lyapunov-Based Control Approach. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/839108.

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Chitrakaran, V. K., D. M. Dawson, J. Chen, and W. E. Dixon. Euclidean Position Estimation if Features on a Moving Object Using a Single Camera: A Lyapunov-Based Approach. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada465810.

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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s

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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject

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