This paper revisits a well studied leader-following consensus problem of linear multi-agent systems, while aiming at follower nodes' transient performance. Conventionally, when not all nodes have access to the leader's state information, distributed observers are designed estimate state, and coupled via communication network. Then each node only needs track its observer's independently, without...

This paper aims at proposing an integrated optimum design method of the structure-control combined system by using closed loop system redesign based on feedback control. The proposed method is constructed from two steps: in the rst step, output feedback control system is designed for an initial structure in order to realize the desired closed loop system's characteristics; and in the second ste...

This paper studies a method of shifting poles of linear constant systems via LQ optimal feedback. By making use of a solution to the so-called inverse regulator problem, this method enables us to shift poles successively by pairs while maintaining the well-known advantages of LQ regulators. Polynomial fractional representation is effectively used both to characterize the maximal pole-assignable...

The design of H2-optimal control with regional pole assignment via state feedback in linear time-invariant systems is investigated. The aim is to find a state feedback controller such that the closed-loop system has the desired eigenvalues lying in some desired stable regions and attenuates the disturbance between the output vector and the disturbance vector. Based on a proposed result of param...

In this paper, the problem of designing fixed-order robustH∞ controllers is considered for linear systems affected by polytopic uncertainty. A polynomial method is employed to design a fixed-order controller that guarantees that all the closed-loop poles reside within a given region of the complex plane. In order to utilise the freedom of the controller design, an H∞ performance specification i...

In this paper, a pole assignmentproblem of lineartime invariantcontrol system by memoryless output feedback is posed as a least squares poles assignmentproblem and analysed. The coat functions are appropriately modified so M to obtain existenceof global minimumand convergence of the correspondinggradientflow. This approachis also extended to accommodate the output pole assignmentproblem with in...

In many classifier systems, the classifier strength parameter serves as a predictor of future payoff and as the classifier’s fitness for the genetic algorithm. We investigate a classifier system, XCS, in which each classifier maintains a prediction of expected payoff, but the classifier’s fitness is given by a measure of the prediction’s accuracy. The system executes the genetic algorithm in ni...

An interval analysis approach for the design of robust state feedback controllers is proposed. It is shown that when regional pole placement specifications are represented as spectral sets of interval polynomials, the robust state feedback design problem can be entirely formulated and solved in the context of the concepts and methods of interval analysis. Explicit convex polyhedral representati...