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Command Filter-Based Adaptive NN Control for MIMO Nonlinear Systems With Full-State Constraints and Actuator Hysteresis

IEEE Transactions on Cybernetics, 2020
This article studies the issue of adaptive neural network (NN) control for strict-feedback multi-input and multioutput (MIMO) nonlinear systems with full-state constraints and actuator hysteresis.
Jianbin Qiu   +3 more
semanticscholar   +1 more source

On the theory of nonlinear control systems

2005
A review of some of the recent advances in nonlinear control theory is presented. A central theme in the discussion is the notion of state feedback and its use for altering the structural properties of a system. The relations between various synthesis problems, controlled invariance and a general decomposition problem are investigated.
openaire   +1 more source

THE NEW RESULTS IN THE THEORY OF PERIODIC OSCILLATION IN NONLINEAR CONTROL SYSTEMS

IFAC Proceedings Volumes, 1990
Abstract The ordinary systems and the systems including elements of new kind (to describe these elements the new mathematical methods have been developed) was studied. In this paper we state some new results about periodic oscillations: existence of oscillations, number of distinct conditions, stability conditions, new numerical procedures for ...
M.A. Krasnosel’skii   +7 more
openaire   +1 more source

Categories and Foundations of the Theory of Nonlinear Controlled Dynamical Systems: I

Differential Equations, 2002
According to the introduction, ``the exposition of foundations of a particular mathematical theory begins with the definition of\dots notions.'' In the first part the author develops ``an approach that permits one to use category theory and thus introduce the above mentioned notions in a very natural manner''.
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The Nonlinear Control Theory of Complex Mechanical Systems.

1996
Abstract : This report summarizes a body of research dealing with the nonlinear control theory of complex mechanical systems. The principal focus is on so-called superarticulated (or underactuated) mechanical systems and systems having a mixture of directly controlled as well as uncontrolled degrees of freedom. The two-fold goal of the research is: (1)
openaire   +1 more source

Event-Triggered Global Finite-Time Control for a Class of Uncertain Nonlinear Systems

IEEE Transactions on Automatic Control, 2020
This paper focuses on the problem of global finite-time stabilization for a class of uncertain nonlinear systems with event-triggered inputs. The existing event-based design methods can only partially compensate for the effects of the event-triggered ...
Cui-Hua Zhang, Guang‐Hong Yang
semanticscholar   +1 more source

Adaptive Neural Network Finite-Time Dynamic Surface Control for Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems, 2020
This article addresses the problem of finite-time neural network (NN) adaptive dynamic surface control (DSC) design for a class of single-input single-output (SISO) nonlinear systems.
Ke-Wen Li, Yongming Li
semanticscholar   +1 more source

Geometric Theory of Reduction of Nonlinear Control Systems

Computational Mathematics and Mathematical Physics, 2018
The foundations of a differential geometric theory of nonlinear control systems are described on the basis of categorical concepts (isomorphism, factorization, restrictions) by analogy with classical mathematical theories (of linear spaces, groups, etc.).
openaire   +1 more source

Observer-Based Finite-Time Adaptive Fuzzy Control for Nontriangular Nonlinear Systems With Full-State Constraints

IEEE Transactions on Cybernetics, 2020
This article focuses on finite-time adaptive fuzzy output-feedback control for a class of nontriangular nonlinear systems with full-state constraints and unmeasurable states.
Huaguang Zhang, Yang Liu, Yingchun Wang
semanticscholar   +1 more source

Adaptive Neural Network Finite-Time Control for Multi-Input and Multi-Output Nonlinear Systems With Positive Powers of Odd Rational Numbers

IEEE Transactions on Neural Networks and Learning Systems, 2020
This article investigates the adaptive neural network (NN) finite-time output tracking control problem for a class of multi-input and multi-output (MIMO) uncertain nonlinear systems whose powers are positive odd rational numbers.
Yongming Li, Ke-Wen Li, Shaocheng Tong
semanticscholar   +1 more source

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