Relevant bibliographies by topics / Lyapunov-based control design

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Lyapunov-based control design'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Lyapunov-based control design"

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Mahmood, Maaz, and Prashant Mhaskar. "Constrained control Lyapunov function based model predictive control design." International Journal of Robust and Nonlinear Control 24, no. 2 (2012): 374–88. http://dx.doi.org/10.1002/rnc.2896.

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Hölzl, Stefan L., Richard Seeber, Markus Tranninger, Robert Bauer, and Martin Horn. "Lyapunov-based observer design for steam boilers." IFAC-PapersOnLine 53, no. 2 (2020): 5915–21. http://dx.doi.org/10.1016/j.ifacol.2020.12.1642.

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Fan, Guo Long, Xiao Geng Liang, and Yong Hua Fan. "Suboptimal Control Theory for Vehicle Attitude Control System Design." Advanced Materials Research 466-467 (February 2012): 976–80. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.976.

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Base on the Lyapunov stability theory, an improved suboptimal control system scheme is advanced in this paper. Aiming at hypersonic reentry vehicle nonlinear properties of the actuator deflection angle rate and the deflection angle were studied. First, the mathematical model of the control system is established according to the flight control system control scheme. Considering the project realize easy, the flight control system is designed based on suboptimal control of Lyapunov stability theory. In order to close to the optimal control, then the suboptimal control design is improved. Finally
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Qian, Ping, Wen Rui Wang, Xue Qiang Li, and Yin Zhong Ye. "H∞ Robust Control for Networked Control System with Short Time-Delay." Applied Mechanics and Materials 556-562 (May 2014): 5501–5. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5501.

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For a kind of networked control systems with short time-delay, establish discrete time-invariant system model. Construct the Lyapunov function based on the Lyapunov asymptotic stability principle. Using Linear Matrix Inequalities method given the sufficient condition of H∞ robust controller design method of closed-loop feedback control systems. Matlab simulation indicates the effectiveness and correctness of the controller design.
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Magyar, Attila, and Katalin M. Hangos. "Control Lyapunov function based feedback design for quasi-polynomial systems." IFAC Proceedings Volumes 46, no. 23 (2013): 128–33. http://dx.doi.org/10.3182/20130904-3-fr-2041.00108.

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Likun, Hu, and Wang Qingchao. "Direct Lyapunov-based control law design for spacecraft attitude maneuvers." Progress in Natural Science 16, no. 11 (2006): 1188–92. http://dx.doi.org/10.1080/10020070612330128.

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Wang, H., P. Kabore, and H. Baki. "Lyapunov-based controller design for bounded dynamic stochastic distribution control." IEE Proceedings - Control Theory and Applications 148, no. 3 (2001): 245–50. http://dx.doi.org/10.1049/ip-cta:20010474.

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Wang, Yujie, and Xiangru Xu. "Proxy control barrier functions: Integrating barrier-based and Lyapunov-based safety-critical control design." Automatica 178 (August 2025): 112364. https://doi.org/10.1016/j.automatica.2025.112364.

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Kang, Jong-Su, Su-Yong Paek, and Chung-Ryol Rim. "A Novel Design of Disturbance Compensator in Active Disturbance Rejection Control." Journal of Hunan University Natural Sciences 49, no. 8 (2022): 69–75. http://dx.doi.org/10.55463/issn.1674-2974.49.8.9.

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This article aims to describe a novel design method of disturbance compensator in ADRC (Active Disturbance Rejection Control) based on Lyapunov stability theory. Error-based state equation is used to simplify the ADRC structure. The state feedback controller is designed using LQ (Linear Quadratic) method based on a linearized model. The generalized ESO (Extended State Observer) estimates the nonlinear part, model uncertainty, and external disturbance regarded as "total disturbance." Based on the estimate of the disturbance, disturbance compensator is designed using Lyapunov stability theory. I
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Souza, Wallysonn Alves de, Marcelo Carvalho Minhoto Teixeira, Máira Peres Alves Santim, Rodrigo Cardim, and Edvaldo Assunção. "Robust Switched Control Design for Nonlinear Systems Using Fuzzy Models." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/721537.

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The paper proposes a new switched control design method for some classes of uncertain nonlinear plants described by Takagi-Sugeno fuzzy models. This method uses a quadratic Lyapunov function to design the feedback controller gains based on linear matrix inequalities (LMIs). The controller gain is chosen by a switching law that returns the smallest value of the time derivative of the Lyapunov function. The proposed methodology eliminates the need to find the membership function expressions to implement the control laws. The control designs of a ball-and-beam system and of a magnetic levitator i
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Dissertations / Theses on the topic "Lyapunov-based control design"

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Wang, Zhao. "Lyapunov-based control design for uncertain MIMO systems." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5088.

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In this dissertation. we document the progress in the control design for a class of MIMO nonlinear uncertain system from five papers. In the first part, we address the problem of adaptive control design for a class of multi-input multi-output (MIMO) nonlinear systems. A Lypaunov based singularity free control law, which compensates for parametric uncertainty in both the drift vector and the input gain matrix, is proposed under the mild assumption that the signs of the leading minors of the control input gain matrix are known. Lyapunov analysis shows global uniform ultimate boundedness (GUUB) r
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Wang, Zhao. "Lyapunov-Based Control Design for Uncertain MIMO Systems." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5558.

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In this dissertation. we document the progress in the control design for a class of MIMO nonlinear uncertain system from five papers. In the first part, we address the problem of adaptive control design for a class of multi-input multi-output (MIMO) nonlinear systems. A Lypaunov based singularity free control law, which compensates for parametric uncertainty in both the drift vector and the input gain matrix, is proposed under the mild assumption that the signs of the leading minors of the control input gain matrix are known. Lyapunov analysis shows global uniform ultimate boundedness (GUUB)
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Sorensen, Dennis R. "Design and control of a space based two link manipulator with Lyapunov based control laws." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23618.

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Alhejji, Ayman Khalid. "Dynamic Neural Network-based Adaptive Inverse Optimal Control Design." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/dissertations/891.

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This dissertation introduces a Dynamical Neural Network (DNN) model based adaptive inverse optimal control design for a class of nonlinear systems. A DNN structure is developed and stabilized based on a control Lyapunov function (CLF). The CLF must satisfy the partial Hamilton Jacobi-Bellman (HJB) equation to solve the cost function in order to prove the optimality. In other words, the control design is derived from the CLF and inversely achieves optimality when the given cost function variables are determined posterior. All the stability of the closed loop system is ensured using the Lyapunov
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Riccardo, Zanella Riccardo. "Decoupled Controllers for Mobile Manipulation with Aerial Robots : Design, Implementation and Test." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187649.

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This work considers an aerial robot system composed of an Unmanned Aerial Vehicle (UAV) and a rigid manipulator, to be employed in mobile manipulation tasks. The strategy adopted for accomplishing the aerial manipulation is a decomposition of the previous system in two decoupled subsystems: one concerning the center of mass of the aerial robot; and another concerning the manipulator's orientation. Two Lyapunov-based controllers are developed, using a back stepping procedure, for solving the trajectory tracking problems related to the two subsystems. In the controller design, three inputs are a
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Flores, Colunga Gerardo Ramón. "Design, modeling and control of a convertible mini airplane having four tiliting rotors." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2095/document.

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Cette thèse étudie certains problèmes plus importants dans le sens de guidage, navigation et contrôle présentés dans une catégorie particulière de mini véhicules aériens (MVA) : le MVA convertible avec des ailes fixes et disques pendulaires. Cet aéronef est capable de changer sa configuration de vol, du vol stationnaire au vol palier et vice versa, au moyen d’une manœuvre de transition. Motivé par des applications civiles, on étudie théoriquement et expérimentalement les principes de contrôle en fonction de Lyapunov pour les dynamiques présentées dans le MVA convertible. Des résultats de conve
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Wang, Win-Shang, and 王允上. "Robust Sampled-Data Control System Based on Lyapunov Design." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/85377244286064365195.

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碩士<br>逢甲大學<br>電子工程所<br>93<br>Abstract We present a numerical framework for dealing with sampled-data control systems in the time domain. The sampled-data system is described in state space form and addresses the robust stability analysis for the system with parametric uncertainties based on the Kharitonov’s theorem with initial value obtained by approximated Z-transformation using higher-order integrators. We solve it using numerical approach such that Newton’s method and computer program. The largest approximate sampling time T guaranteeing stability that calculated is more accurately than pr
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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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Annam, Chandrakanth. "Advanced Guidance Laws for Field-of-View and Impact Angle Constrained Engagements." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4820.

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This thesis deals with the development of guidance laws for interceptors with seeker field-of-view (FOV) and impact angle constraints. Two classes of guidance problems, namely, field-of- view and impact angle constrained guidance; midcourse guidance of dual pulse interceptors with look angle constraints, are considered in this thesis. In the first problem, decision variables are lateral acceleration commands whereas the second problem has an additional decision variable of second thrust pulse firing time. For the first problem, three guidance laws are proposed using nonlinear control the
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Books on the topic "Lyapunov-based control design"

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Sorensen, Dennis R. Design and control of a space based two link manipulator with Lyapunov based control laws. Naval Postgraduate School, 1992.

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2

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 control design"

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Moreno, Jaime A. "Lyapunov-Based Design of Homogeneous High-Order Sliding Modes." In Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62896-7_1.

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Jouili, Khalil, Arwa Abdelkarim, and Naceur Benhadj Braiek. "Design of a Controller of Switched Nonlinear Systems Based on Multiple Lyapunov Functions." In Advances and Applications in Nonlinear Control Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30169-3_27.

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Chaudhari, Khushal, and Ramesh Ch Khamari. "Design of Lyapunov-Based Discrete-Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle." In Intelligent Computing and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5566-4_9.

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Sun, Jiayue, Shun Xu, Yang Liu, and Huaguang Zhang. "Adaptive Virotherapy Strategy for Organism with Constrained Input Using Medicine Dosage Regulation Mechanism." In Adaptive Dynamic Programming. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5929-7_7.

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AbstractIn this chapter, the constrained adaptive control strategy based on virotherapy is investigated for organism using the medicine dosage regulation mechanism (MDRM). Firstly, the tumor-virus-immune interaction dynamics is established to model the relations among the tumor cells (TCs), virus particles and the immune response. ADP method is extended to approximately obtain the optimal strategy for the interaction system to reduce the populations of TCs. Due to the consideration of asymmetric control constraints, the non-quadratic functions are proposed to formulate the value function such
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Zhang, Ke, Jiabao Xu, Shenghao Tong, Huaitao Shi, Zhiqiang Duo, and Cai He. "Dynamic Synovial Control Method of Four-Cable-Driven Parallel Robot Based on Interference Observer." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_45.

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AbstractAiming at the problem of high-precision trajectory tracking of four-cable-driven parallel robot, a dynamic non-singular fast terminal sliding mode surface based on the estimation output of interference observer is proposed. Firstly, based on the combination of traditional fast terminal sliding mode control and non-singular terminal synovial control, the estimation value of interference observer is introduced, and a new nonlinear sliding mode surface is established to suppress the influence of unknown disturbance, and at the same time track the desired trajectory from unstable state to
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Kiendl, H., and T. Scheel. "“INTEGRAL LYAPUNOV FUNCTIONS” BASED ON INCOMPLETE STATE FEEDBACK." In Design Methods of Control Systems. Elsevier, 1992. http://dx.doi.org/10.1016/b978-0-08-041902-2.50057-x.

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Caruntu, Constantin-Florin. "Lyapunov-Based Predictive Control Methodologies for Networked Control Systems." In Advances in Computer and Electrical Engineering. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3531-7.ch005.

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The problem considered in this chapter is to control a vehicle drivetrain in order to minimize its oscillations while coping with the time-varying delays introduced by the CAN communication network and the strict timing limitations. As such, two Lyapunov-based model predictive control design methodologies are presented: one based on modeling the network-induced time-varying delays using a polytopic approximation technique and the second one based on modeling the delays as disturbances. Several tests performed using an industry validated drivetrain model indicate that the proposed design method
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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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Yu Wen-Shyong and Lu Tien-Ching. "Dynamical Neural PID Control Design." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-522-7-508.

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In this paper, a dynamic neural PID control scheme is presented based on the Ziegler-Nichols-like formula. The neural PID with a single estimate is tuned according to the Lyapunov type stability criterion. The proposed control scheme can guarantee convergence of the estimate in neuron and the stability of the closed-loop system. Procedures are provided for selecting the most appropriate tuning method for a given application based on the primary function of the feedback loop (servo against regulatory) as well as the relative importance of control effort and robustness. In addition, the neural P
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Roy, Biswapratim, Aritro Dey, and Jayati Dey. "Design of Sliding Mode Control Law for Quadrotor With Adaptive Super Twisting Algorithm." In AI and Blockchain Optimization Techniques in Aerospace Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1491-3.ch004.

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A nonlinear control law is designed for quadrotors that considers actuator saturation, external disturbance, and unknown parameter variations that affect the stability of quadrotors. The proposed robust control law is based on sliding mode control with adaptive super twisting algorithm (SMC-ASTA) and has the sliding surface based on proportional derivative (PD) structure of error while the super twisting algorithm inherits proportional integral (PI) properties. Additionally, the discontinuous control gain of SMC-ASTA law is tuned adaptively as functions of sliding surfaces along with an altern
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Conference papers on the topic "Lyapunov-based control design"

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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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Bezzubov, N. A., S. V. Feofilov, and O. V. Goryachev. "RBFNN-based Control Design Methodology for a DC Servo Motor with a Lyapunov Stability." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803890.

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Corless, Martin. "Lyapunov Based Analysis and Control Design." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0301.

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Varga, Maja, and Stjepan Bogdan. "Fuzzy-Lyapunov based quadrotor controller design." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074523.

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Yaz, E., and A. Azemi. "Lyapunov-based nonlinear observer, design for stochastic systems." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203583.

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Grosman, Benyamin, and Daniel Lewin. "Lyapunov-based Stability Analysis Automated by Genetic Programming." In 2006 IEEE Conference on Computer-Aided Control Systems Design. IEEE, 2006. http://dx.doi.org/10.1109/cacsd.2006.285474.

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Desouky, Mohammed A. A., Youssef R. A. Bishay, and Omar S. M. Saddad. "Lyapunov Based Nonlinear Control Logic for Robotic Goalkeeper." In 2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS). IEEE, 2022. http://dx.doi.org/10.1109/dts55284.2022.9809872.

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Davila, Alejandro, J. A. Moreno, and L. Fridman. "Variable gains super-twisting algorithm: A Lyapunov based design." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5530461.

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Uddin, Nur. "Lyapunov-based control system design of two-wheeled robot." In 2017 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2017. http://dx.doi.org/10.1109/ic3ina.2017.8251752.

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Liang, Xiaoling, Shuzhi Sam Ge, and Bernard Voon Ee How. "Nonlinear Control Design Based on Zone Barrier Lyapunov Function." In 2023 International Conference on Mechatronics, Control and Robotics (ICMCR). IEEE, 2023. http://dx.doi.org/10.1109/icmcr56776.2023.10181068.

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