$$\mathcal {H}_\infty $$ H ∞ Synchronization and Robust $$\mathcal {H}_\infty $$ H ∞ Synchronization of Coupled Neural Networks with Non-identical Nodes

Neural Processing Letters - For coupled neural networks (CNNs) composed of non-identical nodes, the problems of $$\mathcal {H}_\infty $$ synchronization and robust $$\mathcal {H}_\infty $$...     

Robust H∞ Networked Control for Uncertain Fuzzy Systems with Time-delay

A robust H∞ networked control method for Takagi-Sugeno （T-S） fuzzy systems with uncertainty and time delay is presented. A state feedback controller is designed via the networked control system （NCS） theory. Sufficient condition for robust stability with H∞ performance is obtained. Network-induced delay in network transmission and packet dropout are analyzed. Simulation result shows the validity of this control scheme.     

Application of discrete event-triggered $${H_\infty }$$ H ∞ control in wireless signal transmission of IOT

The Journal of Supercomputing - With the development of network communication technology, the Internet of things (IOT) has penetrated into all aspects of society. IOT is mainly composed of a large...     

Robust H∞ State-feedback Control for Nonlinear Uncertain Systems with Mixed Time-varying Delays

International Journal of Control, Automation and Systems - This paper presents a new less conservative stability and H∞ state-feedback controller design of nonlinear uncertain systems with...     

Robust Time-varying H∞ Control for Networked Control System with Uncertainties and External Disturbance

In this paper, the robust H∞ control problem is developed for a class of linear time-varying networked control system (NCS) with uncertainties and external disturbance. In network, the network-induced delay and packet dropouts are simultaneously considered. Firstly, a discrete-time switched system model is established based on the signals transmission delay in network. Then, a time-varying H∞ controller is designed. Such the controller can vary according to delay in network. Furthermore, by constructing delay-dependent Lyapunov-Krasovskii functional, a sufficient condition is given to guarantee that the closed-loop system is stochastically stable with an H∞ disturbance attenuation level in terms of nonlinear matrix inequalities. In order to solve the controller gain, the cone complementarity linearization (CCL) algorithm is employed. Finally, a networked DC motor control system is analyzed to illustrate the effectiveness of the proposed method.     

Robust and Non-fragile H_∞ Control for a Class of Uncertain Jump Linear Systems

This paper describes the synthesis of robust and non-fragile H∞ state feedback controllers for a class of uncertain jump linear systems with Markovian jumping parameters and state multiplicative noises. Under the assumption of a complete access to the norm-bounds of the system uncertainties and controller gain variations, sufficient conditions on the existence of robust stochastic stability and γ-disturbance attenuation H∞ property are presented. A key feature of this scheme is that the gain matrices of controller are only based on It, the observed projection of the current regime rt.     

Robust Mixed H2/H∞ Control for An Uncertain Wireless Sensor Network Systems with Time Delay and Packet Loss

In this paper, the problem of robust mixed H₂/H_∞ control is studied for an uncertain wireless sensor network (WSN) systems with random time delay, packet loss and sensor faults. A system model is established based on the characteristics of uncertain time delay and packet loss in WSN. In this model, system uncertainties are represented by random time delay and stochastic packet loss, which are described by a Markov chain. By using a Lyapunov-Krasovskii function, a mode-dependent mixed H₂/H_∞ controller is designed to guarantee both the stochastic stability of the closed-loop system and the prescribed H₂, H_∞ control performances. The sufficient conditions for the existence of the controller are proved by a series of Linear Matrix Inequalities (LMIs). If these LMIs are feasible, the mode-dependent mixed H₂/H_∞ controller can be obtained. Matlab LMI toolbox is used to calculate the control law. Finally, a numerical example and its simulation results demonstrated the effectiveness of the proposed method.

     

Takagi–Sugeno Fuzzy Hopfield Neural Networks for $${\mathcal{H}_{\infty}}$$ Nonlinear System Identification

In this paper, we propose a new H_￥{\mathcal H_\infty} weight learning algorithm (HWLA) for nonlinear system identification via Takagi–Sugeno (T–S) fuzzy Hopfield neural networks with time-delay. Based on Lyapunov stability theory, for the first time, the HWLA for nonlinear system identification is presented to reduce the effect of disturbance to an H_￥{\mathcal{H}_{\infty }} norm constraint. The HWLA can be obtained by solving a convex optimization problem which is represented in terms of linear matrix inequality (LMI). An illustrative example is given to demonstrate the effectiveness of the proposed identification scheme.     

Robust H∞ and Guaranteed Cost Filtering for T-S Fuzzy Systems with Multipath Quantizations

International Journal of Control, Automation and Systems - This paper investigates the problems of robust H∞ and guaranteed cost filtering for discrete-time uncertain Takagi-Sugeno (T-S)...     

$$H_{infty }$$ H ∞ State Estimation for Stochastic Jumping Neural Networks with Fading Channels Over a Finite-Time Interval

Neural Processing Letters - This paper is concerned with the global Mittag-Leffler synchronization schemes for the Caputo type fractional-order BAM neural networks with multiple time-varying delays...     

Quantized Sliding Mode H∞ Control for Singular Markovian Jump Systems with Sensor Failure and Randomly Changing Structure

The H_∞ sliding mode control is studied for a class of singular Markovian jump systems with sensor failure, incompleted transition probabilities and randomly changing structure. A quantized input sliding mode controller is designed to deal with the sensor failure and time-varying delay. A new sliding mode surface and a new Lyapunov function are constructed to achieve the system stable and reduce the effect of the jumping mode. Based on the linear matrix inequalities (LMIs) theory, some sufficient conditions are derived to guarantee stochastically admissible with performance γ. The sliding mode reachability is also guaranteed. Simulation results are given to illustrate the effectiveness of the proposed method in this paper.

     

Fast Finite-time H∞ Control for a Class of p-normal Form Nonlinear Systems with Output Constraint and Its Application

International Journal of Control, Automation and Systems - In this paper, the fast finite-time H∞, stabilization problem with output constraint is studied for a class of p-normal form...     

Stability Analysis and Robust H∞ Controller Synthesis with Derivatives of Membership Functions for T-S Fuzzy Systems with Time-varying Delay: Input-output Stability Approach

International Journal of Control, Automation and Systems - This paper investigates the problem of delay dependent stability and H∞ control design with derivatives of membership functions of...