Journal ArticleDOI
Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach
TLDR
Dynamic surface control technique is used to avoid the problem of “explosion of complexity,” which is caused by repeated differentiation of certain nonlinear functions in the backstepping design process.Abstract:
In this paper, the problem of adaptive fuzzy tracking control via output feedback for a class of uncertain single-input single-output (SISO) strict-feedback nonlinear systems with unknown time-delay functions is investigated. Dynamic surface control technique is used to avoid the problem of “explosion of complexity,” which is caused by repeated differentiation of certain nonlinear functions in the backstepping design process. In addition, the fuzzy logic systems are utilized to approximate the unknown and desired control input signals directly instead of the unknown nonlinear functions. The designed controller can guarantee all the signals in the closed-loop system to be semiglobally uniformly ultimately bounded and the tracking error to converge to a small neighborhood of the origin. Simulations results are provided to demonstrate the effectiveness of the proposed methods.read more
Citations
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Journal ArticleDOI
Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
TL;DR: An adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint is presented, and the simulation results reveal the effectiveness of the proposed approach.
Journal ArticleDOI
Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation
TL;DR: In this paper, a hybrid fuzzy adaptive output feedback control design approach is proposed for a class of multiinput and multioutput strict-feedback nonlinear systems with unknown time-varying delays, unmeasured states, and input saturation.
Journal ArticleDOI
Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems
TL;DR: This work focuses on designing state- feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞ disturbance attenuation level and suspension performance constraints.
Journal ArticleDOI
Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay
TL;DR: This paper considers the problem of observer-based adaptive neural network control for a class of single-input single-output strict-feedback nonlinear stochastic systems with unknown time delays and proposes adaptive NN output feedback controller.
Journal ArticleDOI
Reliable Filtering With Strict Dissipativity for T-S Fuzzy Time-Delay Systems
TL;DR: In this paper, a sufficient condition of reliable dissipativity analysis is proposed for T-S fuzzy systems with time-varying delays and sensor failures and a reliable filter with strict dissipativity is designed by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
References
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Journal ArticleDOI
Dynamic surface control for a class of nonlinear systems
TL;DR: A method is proposed for designing controllers with arbitrarily small tracking error for uncertain, mismatched nonlinear systems in the strict feedback form and it is shown that these low pass filters allow a design where the model is not differentiated, thus ending the complexity arising due to the "explosion of terms" that has made other methods difficult to implement in practice.
Journal ArticleDOI
A new delay system approach to network-based control
TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
Journal ArticleDOI
Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form
TL;DR: A backstepping based control design for a class of nonlinear systems in strict-feedback form with arbitrary uncertainty is developed and is able to eliminate the problem of "explosion of complexity" inherent in the existing method.
Journal ArticleDOI
Adaptive neural control of uncertain MIMO nonlinear systems
Shuzhi Sam Ge,Cong Wang +1 more
TL;DR: Adapt neural control schemes are proposed for two classes of uncertain multi-input/multi-output (MIMO) nonlinear systems in block-triangular forms that avoid the controller singularity problem completely without using projection algorithms.
Journal ArticleDOI
Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties
TL;DR: A new method of dealing with a time-delay system without uncertainties is devised, in which the derivative terms of the state are retained and some free weighting matrices are used to express the relationships among the system variables.