Results 311 to 320 of about 24,564,249 (381)
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Correntropy Kernel Learning for Nonlinear System Identification with Outliers
, 2014One significant challenge in nonlinear system identification developed for industrial processes is that the modeling samples often contain outliers and noise.
Yi Liu, Junghui Chen
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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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A nonlinear philosophy for nonlinear systems
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002A framework for system analysis and design is described based on nonlinear system models and nonperiodic signals generated by nonlinear systems. The proposed approach to analysis of nonlinear systems is based on an excitability index-a nonlinear counterpart of the magnitude frequency response of linear systems.
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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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Innovation Systems by Nonlinear Networks
Nonlinear Dynamics, 2006Cellular Neural Networks (CNNs) constitute a powerful paradigm for modeling complex systems. Innovation systems are complex systems in which small and medium enterprises play the role of simple units interacting with each other. In this paper, innovation systems based on CNN are investigated.
P. ANDRIANI +5 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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Introduction to Applied Nonlinear Dynamical Systems and Chaos
, 1989Equilibrium Solutions, Stability, and Linearized Stability * Liapunov Functions * Invariant Manifolds: Linear and Nonlinear Systems * Periodic Orbits * Vector Fields Possessing an Integral * Index Theory * Some General Properties of Vector Fields ...
S. Wiggins
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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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Control of Nonlinear Systems [PDF]
, 1993 Abstract : This research by the PI and his graduate students was on: (1) State- Space and I/O systems, (2) Systems with Saturated Control, (3) Discrete-Time Control, (4), Identification of Nonlinear systems and (5) I/O Equations. Twelve papers were published under this grant.
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