Results 301 to 310 of about 24,698,590 (380)
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International Journal of Adaptive Control and Signal Processing, 2023
This paper investigates the identification problem of an output‐error nonlinear system with saturation and dead‐zone nonlinearity. Introducing a switching function and by means of the auxiliary model identification idea, an auxiliary model hierarchical ...
Shunyuan Sun, Xiao Wang, Feng Ding
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This paper investigates the identification problem of an output‐error nonlinear system with saturation and dead‐zone nonlinearity. Introducing a switching function and by means of the auxiliary model identification idea, an auxiliary model hierarchical ...
Shunyuan Sun, Xiao Wang, Feng Ding
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Nonlinear controllers for nonlinear systems with input nonlinearities [PDF]
Proceedings of the 36th IEEE Conference on Decision and Control, 1999 The authors consider control systems of the type \[ \dot x= f(x,\sigma(u)),\quad x(0)= x_0,\quad t\geq 0, \] where \(\sigma\) denotes an input nonlinearity -- in many cases saturation -- and present a methodology for designing globally stabilizing nonlinear controllers.
J.L. Fausz +2 more
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International Journal of Robust and Nonlinear Control, 2020
This article focuses on the parameter estimation problem of the input nonlinear system where an input variable‐gain nonlinear block is followed by a linear controlled autoregressive subsystem.
Yamin Fan, Ximei Liu
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This article focuses on the parameter estimation problem of the input nonlinear system where an input variable‐gain nonlinear block is followed by a linear controlled autoregressive subsystem.
Yamin Fan, Ximei Liu
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On the stabilization of nonlinear systems
1982 21st IEEE Conference on Decision and Control, 1982The so called Q-parametrization theorem for linear systems states that for a stable plant P, a compensator F yields a stable closed loop if and only if \(F=Q(I-PQ)^{-1}\) for some stable Q. In this paper the Q- parametrization theorem is extended to nonlinear systems.
Venkat Anantharam, Charles A. Desoer
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IEEE Transactions on Automatic Control, 2019
In this note, we propose a novel adaptive fixed-time control scheme for output tracking problems of a class of multi-input multi-output (MIMO) nonlinear systems with asymmetric output constraint requirements, using a new universal barrier function. It is
Xu Jin
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In this note, we propose a novel adaptive fixed-time control scheme for output tracking problems of a class of multi-input multi-output (MIMO) nonlinear systems with asymmetric output constraint requirements, using a new universal barrier function. It is
Xu Jin
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On robustness of nonlinear systems
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1998AbstractWe study the problem of measuring the robustness of stability for a perturbed discrete time nonlinear system. Various stability radii are introduced and their values for the nonlinear system and its linearization are compared. For the time‐invariant case the nonlinear and the linear version of the stability radius coincide generically.
Fabian Wirth, A.D.B. Paice
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IEEE Transactions on Cybernetics, 2020
This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of
Wei Sun +4 more
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This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of
Wei Sun +4 more
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IEEE transactions on fuzzy systems, 2019
This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions
Jianbin Qiu +3 more
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This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions
Jianbin Qiu +3 more
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Finite-Time Fuzzy Control of Stochastic Nonlinear Systems
IEEE Transactions on Cybernetics, 2020This paper studies the finite-time stabilization of a class of stochastic nonlinear systems. Different from functions which are necessarily known in the conventional finite-time control of nonlinear systems, the nonlinear functions can be completely ...
F. Wang +4 more
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Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems
IEEE transactions on fuzzy systems, 2018This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems. Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system functions, including the bounding functions, are all totally ...
Fang Wang +3 more
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