This article deals with the problem of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> and notation="LaTeX">$l_{2}-l_{\infty filtering for discrete-time Takagi–Sugeno fuzzy nonhomogeneous Markov jump systems quantization effects, respectively. The time-varying transition probabilities are in a polytope set. To reduce conservativeness, mode-dependent logarithmic...

This paper investigates the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering problem for nonhomogeneous Markovian jump repeated scalar nonlinear systems with multiplicative noises and partially mode-dependent (PM) characterization. A new PM filter is proposed, which guarantees stochastic stability of error systems. The transition probabilities (TPs) process are assumed to be polytopic probability successful transmission mode...

In this paper, a voltage regulation system based on indirect adaptive fuzzy (IAF) control for doubly salient electromagnetic generator (DSEG) is proposed to improve the robustness of and reduce output ripple. The operating principle IAF controller described in detail subsequently stability condition deduced by Lyapunov function mathematical model working generator. Moreover, selection method parameters strategy are determined with law. Finally, field-circuit coupling simulation DSEG using...

The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> filtering problem for discrete-time periodic Markov jump systems with quantized measurements and packet loss compensation is addressed in this article. stochastic phenomenon, which arises from the plant to filter, obeys Bernoulli distribution. Then, aiming at phenomenon that system performance degraded or even...

In this paper, the design of a dynamic output feedback controller for networked control system with dual-channel data packet loss and special discrete-time delay is studied, in which described by Markov process. order to effectively alleviate problem network congestion, quantizer was added sensor-to-controller channel. The transition probabilities process are uncertain, but they exist convex sets known polyhedron types. mode-dependent Lyapunov function constructed, sufficient condition given...

A sliding mode control (SMC) strategy with a fractional-order scheme is developed to provide an effective way compensate for the harmonic current and strengthen performance of active power filter (APF). The formulation controller (FOSMC) incorporated in APF system, obtaining extra degree freedom over integer-order ones improve dynamic property. simulation results utilizing designed confirm satisfactory smaller total distortion (THD) by comparative study.

This paper presents an adaptive backstepping radial basis function (RBF) neural network control scheme based on a complementary sliding mode method to improve the performance of harmonic current compensation Active Power Filter (APF). Firstly, process is regulated by back-stepping algorithm simplify procedure. On this, surface added traditional one reduce time reaching and accuracy. However, it difficult calculate upper limit system uncertainties in practical applications. As result, RBF...

In this paper, a disturbance observer based fuzzy sliding mode control (DOBFSMC) strategy is proposed for single-phase PV grid-connected inverter. A designed to estimate the system uncertainties in real time and controller that with output information of employed voltage DC-AC inverter, used approximate upper bound observation error between actual its value order improve performance system. The inverter has strong robustness since disturbances can be adaptively compensated chattering greatly...

A multi-input multioutput (MIMO) Takagi-Sugeno (T-S) fuzzy model is built on the basis of a nonlinear MEMS gyroscope. reference adjusted so that local linear state feedback controller could be designed for each T-S submodel based parallel distributed compensation (PDC) method. parameter estimation scheme updating parameters models and analyzed Lyapunov theory. new adaptive law can selected to former plus nonnegative in variable guarantee derivative function smaller than zero. The output...

This paper studies the robust partially mode‐dependent H ∞ filtering for nonhomogeneous Markovian jump neural networks with additive gain perturbations. The discrete time‐varying transition probability matrix is considered to be a polytope set. A filter perturbations constructed increase robustness of filter, which subjects performance index. Based on Lyapunov function approach, sufficient conditions are established such that error system robustly stochastically stable. efficiency new...

In this paper, a fractional-order sliding mode control scheme based on double-hidden-layer recurrent neural network is proposed for single-phase shunt active power filter. Considering the shortcomings of traditional networks that approximation accuracy not high and weight center vector are unchangeable, new structure which contains two hidden layers to make have more powerful fitting ability, designed approximate unknown nonlinearities. An original output feedback with estimate uncertainties...

In this paper, a new adaptive control system for MEMS (Microelectromechanical systems) vibratory gyroscope sensor is presented based on the backstepping approach. First, dynamic model of two-axis established Lagrange-Maxwell electromechanical equations. Next, design approach used to drive trajectory tracking errors converge zero rapidly with global asymptotical stability. However, parameters are difficult obtain in advance practical applications. Therefore, laws derived adapt value parameter...

This paper addresses the problem of reliable H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> filtering for discrete-time Takagi -Sugeno fuzzy nonhomogeneous Markov jump systems with sensor fault matrix known and unknown, which time-varying transition probability is depicted as a convex polytope set. Based on parameter-dependent, fuzzy-basis-dependent mode-dependent Lyapunov function, sufficient conditions are shown to guarantee that...

The delay-dependent H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> state estimation problems for stochastic neural networks is considered in this paper. By constructing a suitable Lyapunov-Krasovskii functional, condition established to guarantee the error systems be asymptotical mean-square stable and achieve prescribed performance index. Both delay-independent sufficient conditions existence of desired estimators are derived terms...

Based on Takagi-Sugeno (T-S) fuzzy models, the problem of robust stability for a class uncertain stochastic systems with time-varying delays is studied. First, uncertainty T-S dynamical given. By constructing Lyapunov-Krasovskii functional, novel delay-dependent sufficient conditions are derived based linear matrix inequality(LMI). The results less conservative than existing ones. Numerical examples presented to show that advantage and validity proposed approach.