Results 171 to 180 of about 625,887 (265)
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Adaptive neural decentralised control for switched interconnected nonlinear systems with backlash-like hysteresis and output constraints

International Journal of Systems Science, 2022
This paper considers the issue of adaptive neural decentralised tracking control for a class of output-constraint switched interconnected nonlinear systems with unknown backlash-like hysteresis control input.
Yanwei Zhao   +4 more
semanticscholar   +1 more source

Adaptive Fuzzy Finite-Time Tracking Control of Stochastic High-Order Nonlinear Systems With a Class of Prescribed Performance

IEEE transactions on fuzzy systems, 2022
This article investigates the adaptive fuzzy finite-time control problem for a class of high-order stochastic nonlinear systems with a class of exponential type prescribed performance function. It is assumed that the nonlinear functions in the controlled
Zhumu Fu   +3 more
semanticscholar   +1 more source

Fixed-Time Stabilization for Nonlinear Systems With Low-Order and High-Order Nonlinearities via Event-Triggered Control

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
semanticscholar   +1 more source

Adaptive Fuzzy Decentralized Sampled-Data Control for Large-Scale Nonlinear Systems

IEEE transactions on fuzzy systems, 2022
This 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
Yong-ming Li, Kunting Yu
semanticscholar   +1 more source

Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems

IEEE transactions on fuzzy systems, 2021
This article investigates an adaptive practical fixed-time control strategy for the output tracking control of a class of strict feedback nonlinear systems.
Ming Chen, Huanqing Wang, Xiaoping Liu
semanticscholar   +1 more source

A controllability theory for nonlinear systems

IEEE Transactions on Automatic Control, 1971
A Lyapunov-like approach to the controllability of nonlinear dynamic systems is presented. A theory is developed which yields sufficient conditions for complete controllability for some classes of nonlinear systems; feedback controllers which drive the systems to desired terminal conditions, at a specified final time, are also obtained.
Stanley B. Gershwin, David H. Jacobson
openaire   +2 more sources

Approximation-Based Nussbaum Gain Adaptive Control of Nonlinear Systems With Periodic Disturbances

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This 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
semanticscholar   +1 more source

Finite-Time Adaptive Fuzzy Prescribed Performance Control for High-Order Stochastic Nonlinear Systems

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.
Ieee Shuai Sui Member   +2 more
semanticscholar   +1 more source

Adaptive fuzzy hierarchical sliding mode control of uncertain under-actuated switched nonlinear systems with actuator faults

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
semanticscholar   +1 more source

Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control

International Journal of Control, 2021
In 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
semanticscholar   +1 more source

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