Robustness of reduced-order multivariable state-space self-tuning controller

In this paper, we present a quantitative analysis of the robustness of a reduced-order pole-assignment state-space self-tuning controller for a multivariable adaptive control system whose order of the real process is higher than that of the model used in the controller design. The result of stability analysis shows that, under a specific bounded modelling error, the adaptively controlled closed-loop real system via the reduced-order state-space self-tuner is BIBO stable in the presence of unmodelled dynamics

QoS routing optimization strategy using genetic algorithm in optical fiber communication networks

Abstract This paper describes the routing problems in optical ber networks, denes ve constraints, induces and simplies the evaluation function and tness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in optical ber communication networks. The simulation results show that the proposed routing method by using this optimal maintain operator genetic algorithm (OMOGA) is superior to the common genetic algorithms (CGA). It not only is robust and eÆcient but also converges quickly and can be carried out simply, that makes it better than other complicated GA. Keywords genetic algorithm, optimal maintain operator (OMO), optical ber communication network

Control a state-dependent dynamic graph to a pre-specified structure

summary:Recent years have witnessed an increasing interest in coordinated control of distributed dynamic systems. In order to steer a distributed dynamic system to a desired state, it often becomes necessary to have a prior control over the graph which represents the coupling among interacting agents. In this paper, a simple but compelling model of distributed dynamical systems operating over a dynamic graph is considered. The structure of the graph is assumed to be relied on the underling system's states. Then by following a proper protocol, the state-dependent dynamic graph is driven to a pre-specified structure. The main results are derived via Lasalle's Invariant Principle and numerical examples that find very good agreements with the analytical results are also included

Exponential stability criteria for feedback controlled complex dynamical networks with time delay.

Abstract: Time delays commonly exist in the real world, so it is necessary to study the control of such systems with time delay. In this work, we control complex dynamical networks with time delay onto their homogeneous stationary state by applying local feedback injections to a small fraction of nodes. Both asymptotical stability and exponential stability criteria are derived by Lyapunov's direct method. The efficiency of the derived results was illustrated by simulation study