Results 271 to 280 of about 117,697,012 (350)
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2022
This paper investigates the fixed-time stabilization problem for a class of nonlinear systems via event-triggered control. The event-triggered mechanism can be applied to the nonlinear system with the coexistence of low-order and high-order ...
Qingtan Meng, Qian Ma, Yang Shi
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This paper investigates the fixed-time stabilization problem for a class of nonlinear systems via event-triggered control. The event-triggered mechanism can be applied to the nonlinear system with the coexistence of low-order and high-order ...
Qingtan Meng, Qian Ma, Yang Shi
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Adaptive Fuzzy Decentralized Sampled-Data Control for Large-Scale Nonlinear Systems
IEEE transactions on fuzzy systems, 2022This article proposes a sampled-data adaptive fuzzy decentralized output feedback control method for the uncertain nonstrict feedback large-scale interconnected systems whose nonlinear functions are completely unknown and whose states are unavailable for
Yongming Li, Kunting Yu
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ON NONLINEAR INNER SYSTEMS AND CONNECTIONS WITH CONTROL THEORY
IFAC Proceedings Volumes, 2002This paper extends some results involving linear inner systems to the nonlinear case. In thsi regard, the arithmetic of nonlinear inner systems is developed further and some new connections with nonlinear spectral and all-pass factorization and control theory are discussed.
Petersen, Mark A., van der Schaft, Arjan
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Approximation-Based Nussbaum Gain Adaptive Control of Nonlinear Systems With Periodic Disturbances
IEEE Transactions on Systems, Man & Cybernetics. Systems, 2021This article considers the Nussbaum gain adaptive control issue for a type of nonlinear systems, in which some sophisticated and challenging problems, such as periodic disturbances, dead zone output, and unknown control direction are addressed.
Hui Ma +4 more
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IEEE transactions on fuzzy systems, 2021
In this article, the high-order nonlinear system is commonly studied in an underactuated weakly coupled mechanical system, the control design is difficult from the tractional control design for nonlinear systems.
Shuai Sui +2 more
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In this article, the high-order nonlinear system is commonly studied in an underactuated weakly coupled mechanical system, the control design is difficult from the tractional control design for nonlinear systems.
Shuai Sui +2 more
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Modeling Control and Forecasting Nonlinear Systems Based on Grey Signal Theory
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023Based on this article, a fuzzy NN (neural network) based on the EBA (evolved bat algorithm) was developed to devise adaptive control with gray signal prediction to provide asymptomatic stability and increased driving comfort. The method is used to assess plant nonlinearity and to perform structural tracking of the signal.
Chen, Z. Y. +3 more
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International Journal of Systems Science, 2021
This paper aims at putting forward an adaptive fuzzy hierarchical sliding mode control method to deal with the control problem for uncertain under-actuated switched nonlinear systems with actuator faults.
Haoyan Zhang +3 more
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This paper aims at putting forward an adaptive fuzzy hierarchical sliding mode control method to deal with the control problem for uncertain under-actuated switched nonlinear systems with actuator faults.
Haoyan Zhang +3 more
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Stability of fuzzy control systems by using nonlinear system theory
Annual Review in Automatic Programming, 1992In this paper we consider fuzzy control system as nonlinear control systems. We present an unifying framework of methodologies and summarize three different methods. The first one is based on the geometrical interpretation of the system dynamic behaviour in the phase portrait.
A. García-Cerezo, A. Ollero, J. Aracil
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Theory and Design of PID Controller for Nonlinear Uncertain Systems
IEEE Control Systems Letters, 2019It is well-known that the classical proportional-integral-derivative (PID) controller plays a fundamental role in various engineering systems. However, up to now a theory that can explain the rationale why the linear PID can effectively deal with nonlinear uncertain dynamical systems and a method that can provide explicit design formula for the PID ...
Jinke Zhang, Lei Guo 0001
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Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control
International Journal of Control, 2021In this work, a predictive control framework is presented for feedback stabilisation of nonlinear systems. To achieve this, we integrate Koopman operator theory with Lyapunov-based model predictive control (LMPC).
Abhinav Narasingam, S. Son, J. Kwon
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