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In this article, we introduce impulsive control protocols for multi-agent linear dynamic systems. First, an impulsive control protocol is designed for network with fixed topology based on the local information of agents. Then sufficient conditions are given to guarantee the consensus of the multi-agent linear dynamic systems by the theory of impulsive(More)
A novel scheme of direct robust adaptive fuzzy control for a class of strict-feedback uncertain systems with both unknown virtual control gain functions and unknown nonlinearities is proposed in this paper. By utilizing the approximation capability of fuzzy systems, backstepping technique and integral-type Lyapunov function, each virtual control and the(More)
This paper defines an impulsive fuzzy system by extending the ordinary T-S fuzzy model. The concept of parallel distributed compensation (PDC) is employed to design the state feedback controller. By Lyapunov method, the resulting closed-loop system is shown to be globally exponential stable. Sufficient conditions for global exponential stability of the(More)
A new design scheme of stable adaptive fuzzy control for a class of nonlinear systems is proposed in this paper. The T-S fuzzy model is employed to represent the systems. First, the concept of the so-called parallel distributed compensation (PDC) and linear matrix inequality (LMI) approach are employed to design the state feedback controller without(More)
The problem of robust fuzzy control for a class of nonlinear fuzzy impulsive singular perturbed systems with time-varying delay is investigated by employing Lyapunov functions. The nonlinear delay system is built based on the well-known T–S fuzzy model. The so-called parallel distributed compensation idea is employed to design the state feedback controller.(More)
A unified associative memory model with a novel method for designing associative memories is presented in this paper. Based on continuous recurrent neural networks, bipolar patterns inputted from external can cause the output of neural networks to be memorized patterns. In the method, two conditions relevant to external inputs are derived to ensure the(More)
In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neural networks with a class of gain type activation function. The weight parameters of neural networks are acquired by a set of inequalities without the learning procedure. The global exponential stability criteria are established to ensure the accuracy of the(More)
In this paper, a novel fuzzy tracking control scheme is presented for a class of pure-feedback nonlinear systems. Based on the first-type fuzzy logic systempsilas online approximation capability, an adaptive fuzzy tracking controller is developed by using the backstepping approach. It is proved that the design scheme guaranteed that all the signals in the(More)
The problem of adaptive fuzzy control for a class of nonlinear systems is studied in this paper. The T-S fuzzy model is employed to approximate the nonlinear unknown function. Based on the principle of supervisory control, a novel adaptive fuzzy control strategy with supervisory controller is developed. With the help of a supervisory controller, the(More)