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This study investigates the problem of robust finite-time H∞ control for nonlinear system with parameter uncertainties and one-side Lipschitz via output feedback. The nonlinear function is considered to satisfy nonlinear condition. By means of Linear matrix inequality (LMI) techniques, design algorithms of static output feedback controller are developed. Finally, numerical examples are presented to...
This article is concerned with resilient asynchronous H∞ output feedback controller designed for a set of Markov jump linear systems (MJLSs). By Finsler's Lemma, and with the help of two sets of slack variables, the problem of inter connection between the Lyapunov matrices and the system matrices was solved. Resilient asynchronous controller is designed to ensure the controller has the character of...
This paper is concerned with the problem of stochastic stabilization and H∞ control for a class of continuous-time nonlinear Markovian jump systems (MJSs) described by Takagi-Sugeno (T-S) fuzzy models. Based on a mode-dependent fuzzy Lyapunov function and by introducing slack matrix variables, we propose a new less conservative sufficient condition for the mode-dependent fuzzy controller in terms...
In this paper, we consider robust stability analysis of a networked system with uncertain communication delays. Each subsystem of these systems can have different dynamics, and interconnections among the subsystems are arbitrary. It is assumed that there exists an uncertain but constant delay in each communication channel. Based on the integral quadratic constraint (IQC) framework, a sufficient robust...
Consensus maximization has proven to be a useful tool for robust estimation. While randomized methods like RANSAC are fast, they do not guarantee global optimality and fail to manage large amounts of outliers. On the other hand, global methods are commonly slow because they do not exploit the structure of the problem at hand. In this paper, we show that the solution space can be reduced by introducing...
In recent years, wireless power transfer systems have successfully been used in various industrial applications due to their contactless power transfer feature. However, these systems behave as higher order resonant networks and hence are highly sensitive to changes in system parameters. Traditional PID controllers often fail to maintain satisfactory power regulation in the presence of parametric...
The dramatic changes of dynamics characteristics of aeroengine, the aero dynamics effects together with the wide range of flight envelope, it is required that the controller can adapt to the large parameter variation range and has good robustness. To address the above problems, a new turbofan engine Multivariable robust gain scheduled LPV control algorithm based the closed-loop system regional pole...
The issue of nonlinear model predictive control has always been a topic of much concern. We will propose a new approach to robust nonlinear model predictive control to class of nonlinear model system with input constraint under state-dependent disturbances. The considered class of model is separated into linear part at current state, nonlinear part and state-dependent disturbances which are assumed...
This paper proposes a robust fault detection observer based on zonotopes for discrete-time uncertain systems with sensor faults and unknown but bounded uncertainties. The main advantage of this method is that the observer gain of the robust zonotopic observer is designed to be robust against bounded uncertainties while being sensitive to faults. In order to detect sensor faults with low magnitudes,...
In this paper, the problem of the robust dissipativity is studied for a class of uncertain neural networks with time-varying delays. By constructing appropriate Lyapunov-Krasovskii functional, using linear matrix inequality(LMI) technique, several new criteria are obtained, moreover, these conditions are expressed in terms of LMI and can be easily checked by Matlab LMI toolbox. Finally, one example...
This paper considers the design problem of dynamic output feedback control for fractional-order (FO) Takagi-Sugeno fuzzy systems with uncertain parameters. Via the application of FO system stability theory, robust control method and the linear matrix inequality techniques, sufficient conditions are given for the stability analysis and the existence of the dynamic fuzzy output feedback controllers...
In this paper, we study the problem of robust H∞ control for a class of the time-delay singularly perturbed systems with norm-bounded parameters and uncertain parameters. The sufficient conditions for the existence of H∞ robust controllers are given based on the matrix inequality, so that the closed-loop system is robust to all admissible uncertainties and satisfies H∞ performance index. Furthermore,...
In this paper, we consider the robust sliding mode control problem for a class of systems with norm bounded parametric uncertainty and external disturbance. Based on Lyapunov stability theory and linear matrix inequality approach, the proposed control scheme can achieve both asymptotic stability and some robust performances, and the corresponding robust controller that assures the occurrence of sliding...
Observing and estimating system's states are the conditions to realize the effective control in the control and communication engineering field. In this paper for nonlinear descriptor jumping systems, proposed a novel observer, considered the nonlinear perturbation and network communication time-varying delay. A novel full-order delay dependent observer design method is developed by using system stability...
This paper is concerned with power and rate control for wireless communication networks with nonlinear channel fading. A new mathematical model of power and rate control system is derived, and a robust power and rate controller is designed based on sliding mode control. A sufficient condition for the existence of stable sliding surfaces is established via linear matrix inequality, and the controller...
This paper is concerned with the robust normalization and stochastic stabilizing problem for singular Markovian jump systems with norm-bounded parameter uncertainties and time delay. A novel proportional-derivative controller with memory is designed. Sufficient conditions are derived to ensure that the closed-loop system is not only robust normal, but also stochastically stable. In addition, the explicit...
This paper studies the problem of robust H∞ control for uncertain stochastic system with time-varying delay. The time delay is assumed to be of interval type. By constructing a new stochastic Lyapunov-Krasovskii functional, Ito's formula and introducing free weighting matrix, sufficient conditions for delay-dependent robust H∞ control is obtained. The presented formulation is in the framework of linear...
This paper considers the problem of robust fault estimation for discrete-time switched system. Firstly, an augmented system is constructed such that the fault as part of the state. Then an unknown input observer (UIO) is employed to estimate the state of the augmented system. Based on the switched Lyapunov function and the generalized Kalman-Yakubovic-Popov (KYP) lemma, a finite-frequency UIO-based...
We consider linear, state-delayed, discrete-time systems with stochastic uncertainties in their state-space model. The problem of robust H∞ static output-feedback control is solved, for the stationary case, via the input-output approach by which the system is replaced by a non-retarded system with deterministic norm-bounded uncertainties. Based on the BRL result of the above systems, solutions are...
The most widely used controllers in industry are still the proportional, integral, and derivative (PID) and discrete-time proportional, summation, and difference (PSD) controllers, thanks to their simplicity and performance characteristics. However, with these conventional fixed gain controllers we could have difficulties to handle nonlinear or time-variant characteristics. The introduction of linear...
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