Distributed Adaptive Control for a Class of Heterogeneous Nonlinear Multi-Agent Systems with Nonidentical Dimensions

A novel feedback distributed adaptive control strategy based on radial basis neural network (RBFNN) is proposed for the consensus control of a class of leaderless heterogeneous nonlinear multi-agent systems with the same and different dimensions. The distributed control, which consists of a sequence of comparable matrices or vectors, can make that all the states of each agent to attain consensus dynamic behaviors are defined with similar parameters of each agent with nonidentical dimensions. The coupling weight adaptation laws and the feedback management of neural network weights ensure that all signals in the closed-loop system are uniformly ultimately bounded. Finally, two simulation examples are carried out to validate the effectiveness of the suggested control design strategy

An Evolved Control Design of Complex Systems with Multitime Delays and Multi-Interconnections

To guarantee the asymptotic stability of multi-time delays complex system with multi-interconnections, an evolved control design is proposed in this paper. Based on this criterion and the decentralized control scheme, a set of fuzzy controllers is then synthesized via the technique of parallel distributed compensation (PDC) to stabilize a complex system with multi-interconnections. This representation of PDC is constructed by sector nonlinearity which converts the nonlinear model to multiple rule base of the linear model and a new sufficient condition to guarantee the asymptotic stability via Lyapunov function is implemented in terms of linear matrix inequalities (LMI). Finally, a numerical example with simulations is given to demonstrate the results

Decentralized Output Feedback Robust Control for Nonlinear Large-scale Systems

In this note, the problem of decentralized output feedback robust stabilization is studied for time-varying nonlinear large-scale systems, in which general interconnection and fully nonlinear nominal subsystems are both considered. The uncertainties dealt with in this note may be not only matched but also unmatched, and they may appear not only in interconnection but also in isolated subsystem. Then, a kind of continuous decentralized output feedback control to stabilize the system is proposed. Finally, simulation shows the effectiveness of our result