Ren Weijian

Finite time distributed tracking control of nonlinear networks preserving topological connectedness

The finite time coordinated tracking problem under communication constraints is studied for multi-agent networks with inherent nonlinear dynamics based on the differential inclusions theory. Because the induced interaction graph is typically state-dependent and dynamic, the distributed hybrid control protocol that is capable of preserving topological connectedness is designed assuming that nonlinear dynamics are satisfied with Lipschitz condition and each agent has a limited sensing range. Sufficient conditions are developed to achieve finite time tracking by applying non-smooth stability analysis methods, that is finite time tracking can be achieved with suitable control gain. Simulation results verify the effectiveness and correctness of the theoretical analysis.

Output feedback stabilization for a class of complex systems

In this paper we consider the problem of output feedback stabilization for a class of interconnect linear systems, which does not need to decompose the uncertainty terms in the systems with the numerical value bound; and at the same time, the uncertainty terms do not need to satisfy the matching conditions. A simple controller was constructed to demonstrate the ease of use in practice.

Self-tuning predictor and its application in electric power systems

Based on the self-tuning theory, a new self-tuning recursive predictor is proposed for nonstationary time series. Very good results were obtained by using the predictor for the prediction of electric power systems.