Results 291 to 300 of about 117,697,012 (350)
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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
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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
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On the theory of nonlinear control systems
2005A 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.
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THE NEW RESULTS IN THE THEORY OF PERIODIC OSCILLATION IN NONLINEAR CONTROL SYSTEMS
IFAC Proceedings Volumes, 1990Abstract 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
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Categories and Foundations of the Theory of Nonlinear Controlled Dynamical Systems: I
Differential Equations, 2002According 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.
1996Abstract : 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)
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Event-Triggered Global Finite-Time Control for a Class of Uncertain Nonlinear Systems
IEEE Transactions on Automatic Control, 2020This 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
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Adaptive Neural Network Finite-Time Dynamic Surface Control for Nonlinear Systems
IEEE Transactions on Neural Networks and Learning Systems, 2020This 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
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Geometric Theory of Reduction of Nonlinear Control Systems
Computational Mathematics and Mathematical Physics, 2018The 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.).
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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
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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
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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
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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

