Results 1 to 10 of about 29,097,778 (282)
A Survey of Quantum Lyapunov Control Methods [PDF]
The Scientific World Journal, 2013 The condition of a quantum Lyapunov-based control which can be well used in a closed quantum system is that the method can make the system convergent but not just stable.
Shuang Cong, Fangfang Meng
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Computers Materials & Continua, 2021 : Synchronization is one of the most important characteristics of dynamic systems. For this paper, the authors obtained results for the nonlinear systems controller for the custom Synchronization of two 4D systems.
A. A. Hamad +4 more
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Observer-based adaptive fuzzy prescribed performance control for intelligent ship autopilot
Systems Science & Control Engineering, 2021 In this paper, the algorithm design problem of intelligent ship autopilot with an unmeasured yaw rate is investigated based on adaptive fuzzy control.
Liyan Zhu, Tieshan Li
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IET Cyber-systems and Robotics, 2020 In this study, the authors address the problem of optimal routing and relative motion control in a network of robots. The path planning scheme has been designed using a fuzzy-based potential function employing optimal routing parameters.
Anuj Nandanwar +2 more
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Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics [PDF]
IEEE International Conference on Robotics and Automation, 2021 The lack of stability guarantee restricts the practical use of learning-based methods in core control problems in robotics. We develop new methods for learning neural control policies and neural Lyapunov critic functions in the modelfree reinforcement ...
Ya-Chien Chang, Sicun Gao
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IET Smart Grid, 2023 In this article, a robust optimal distributed controller is designed for achieving average voltage regulation and current sharing in a DC microgrid. Each distributed generation unit (DGU) consists of a DC‐DC buck converter that supplies a local constant ...
Ali Amirparast, S. Kamal Hosseini Sani
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Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation [PDF]
IEEE Conference on Decision and Control, 2021 We develop a versatile deep neural network architecture, called Lyapunov-Net, to approximate Lyapunov functions of dynamical systems in high dimensions. Lyapunov-Net guarantees positive definiteness, and thus can be easily trained to satisfy the negative
Nathan Gaby, Fumin Zhang, X. Ye
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Back-stepping sliding mode control method for quadrotor UAV with actuator failure
The Journal of Engineering, 2019 In this article, a fault tolerant controller (FTC) based on back-stepping sliding mode is proposed for a quadrotor unmanned aerial vehicle (UAV) with single-rotor failure.
Zhiqiang Zhu, Songyin Cao
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Constructions of Strict Lyapunov Functions for Discrete Time and Hybrid Time-Varying Systems [PDF]
, 2006 We provide explicit closed form expressions for strict Lyapunov functions for time-varying discrete time systems. Our Lyapunov functions are expressed in terms of known nonstrict Lyapunov functions for the dynamics and finite sums of persistency of ...
Albertini +24 more
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The Journal of Engineering, 2019 This study studies the height and attitude tracking control problem of an unmanned helicopter system with disturbances. A composite controller based on the combination of harmonic disturbance observers and backstepping technique is proposed to achieve ...
Ling Han +3 more
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