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This paper studies the design and the analysis of a nonlinear and neural adaptive control strategy for a complex nonlinear and time varying wastewater treatment bioprocess. In fact a direct adaptive controller based on a radial basis function neural network used as an on-line approximator to learn the time-varying characteristics of process parameters is developed and then is compared with a classical...
Milling classification control is a slow time-delaying and nonlinear process. This paper presents a control method to the field of grinding process control which is based on Multi-Agents System and intelligent control method. Proposed a centralized multi-Agent architecture which used Decision agent and Control agent Hybrid Model. Combined with fuzzy control algorithm and expertise applied to controlling...
In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated...
A novel adaptive fuzzy decentralized regulation approach is proposed for a class of output-feedback large-scale nonlinear systems with unknown time-varying time-delays and interconnections. Each subsystem is needed only one fuzzy approximator, so the number of employed approximators equal to the number of subsystems of the whole large-scale systems. This is different from the existing results, which...
In this paper, a novel adaptive NN control scheme is proposed for a class of uncertain single-input and single- output(SISO) nonlinear time-delay systems with the lower triangular form. RBF NNs are used to approximate unknown nonlinear functions, then the adaptive NN tracking controller is constructed by combining Lyapunov-Krasovskii functionals and the dynamic surface control(DSC) technique along...
For a class of uncertain time-delay nonlinear systems represented by Takagi-Sugeno fuzzy models, the finite-time stabilization problem with exogenous disturbances is discussed. Based on the stochastic Lyapunov-Krasovskii functional approach, a new finite-time stabilization condition is established for such fuzzy systems. By applying linear matrix inequality technique, the finite-time state feedback...
In this paper, a novel fuzzy adaptive backstepping design procedure is proposed for a class of perturbed strict-feedback nonlinear systems with unknown time-varying delays. The fuzzy logic systems are used to approximate the nonlinear uncertainties, then, the adaptive fuzzy tracking controller is constructed by combining Lyapunov-Krasovskii functionals and the backstepping approach. The proposed controller...
This paper considers the sliding mode control for linear uncertain systems with multiple time-delays. A new chattering-free sliding mode control law is designed with saturation function instead of sign function for time-delay systems. The control algorithm divides the control process into two phases. When the system trajectory is outside of the given the boundary layer, the chattering-free control...
This paper is to concern the resilient guaranteed cost controller of autonomous underwater vehicles (AUVs) in vertical surface movement system. In this paper the system is a class of nonlinear singular time-delay systems with uncertainties. The uncertainties are not only in the systematic matrix but also in the controller gain. Based on linear matrix inequalities (LMIs), a resilient guaranteed cost...
This paper considers the problem of designing a non-fragile fault-tolerant controller for a class of nonlinear uncertain systems with time-varying delays and controller gain perturbations. Based on the Lyapunov stability theory and the linear matrix inequality (LMI) approach, a sufficient conditions to get a fault-tolerant controller is given, which results in the closed-loop system being asymptotically...
This paper addresses the problem of robust L2-L∞ Filtering for a class of nonlinear uncertain stochastic time delay systems. Attention is focused on the design of a stochastic L2-L∞ filter that ensuring both the asymptotic mean-square stability and a prescribed L2-L∞ performance level of the filtering error system. A full-order filter is designed based on the linear matrix inequality. Sufficient conditions...
In this paper, adaptive tracking control is investigated for a class of nonlinear time-delay systems with actuator saturation nonlinearity. The uncertain time-delay function is bounded by a nonlinear function with unknown coefficients. The actuator saturation nonlinearity is assumed to be nonsymmetric and unknown. Neural network approximation techniques are utilized to compensate the saturation nonlinearity...
This paper is concerned with the state feed-back guaranteed cost fault tolerant control of networked control systems with both network-induces delay and data dropout. Using LMI approach, The sufficient condition for the existence of the networked guaranteed quadratic cost controller is obtained in terms of matrix inequalities, and the controller design method is deduced in terms of linear matrix inequalities...
In this paper we consider the approximate controllability for a class of semilinear delayed control systems described by a semigroup formulation with boundary control and nonlinear perturbations appearing in boundary conditions. Sufficient conditions for approximate controllability are established provided the approximate controllability of corresponding linear systems.
In this paper, the chaotification problem of a class of stable smooth-air-gap permanent magnet synchronous motor (PMSM) system is investigated. First, the smooth-air-gap PMSM plant is exactly represented by a simple T-S fuzzy model with a few fuzzy rules. Then, a nonlinear delayed feedback controller is designed by parallel distributed compensation technique. In addition, it is proved that the chaos...
Based on observer, delay-dependent robust H∞ controller design problem for time-delay systems with a class of nonlinear uncertainties is discussed in the paper. Assuming that the nonlinear uncertain functions in the considered model are gain-bounded, we obtain a sufficient condition for the robustly asymptotic stability and H∞ performance of the closed-loop system in the light of Lyapunov stability...
A three-channel bilateral control system which is hybrid of position control and force control in the acceleration dimension based on disturbance observer gets unstable in contact with environments under time delay. In this control system, the sum of master force and slave force is controlled to zero in common modal space to realize the law of action-reaction. This paper proposes a velocity damping...
In this paper, an optimal control scheme for a class of non-affine nonlinear systems with time-delays in state and control variables is developed using a new iterative adaptive dynamic programming (ADP) algorithm. By introducing delay matrix functions, the explicit expression of optimal control is solved using the dynamic programming theory and the optimal control can iteratively be solved using the...
This paper investigates the observer-based fault detection filtering problem for continuous-time descriptor Markov jump linear systems (DMJLSs). Both parameter uncertainties and state delays are assumed to be time-varying but bounded. A fault detection filter (FDF) is designed such that for all admissible uncertainties, the resultant filtering dynamics is robust stochastically stable, and the residual...
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