JOURNAL ARTICLE

Mixed H2/H∞ control with pole placement in a class of regions

Bambang Riyanto TrilaksonoEtsujiro SHIMEMURAKenko Uchida

Year: 1994 Journal:   Optimal Control Applications and Methods Vol: 15 (3)Pages: 151-173   Publisher: Wiley

Abstract

Abstract The problem of mixed H 2 / H ∞ control with pole placement is considered for linear time‐invariant systems. This is the problem of determining a controller for linear time‐invariant systems which minimizes the H 2 ‐norm of a certain closed‐loop transfor function subject to an H ∞ ‐norm constraint on another closed‐loop transfer function and an additional constraint on the location of the closed‐loop poles in the complex plane. An optimization problem is posed for the pole‐constrained H 2 / H ∞ , problem in such a way that the objective function is expressed as a weighted sum of the actual H 2 cost and its upper bound. A necessary condition for the optimization problem is derived via the Lagrange multiplier technique. The condition involves a set of highly coupled equations. By sacrificing the H 2 performance, an alternative optimization problem is posed in order to simplify the necessary condition. An iterative algorithm for solving the coupled equations arising in the necessary conditions is proposed and numerical examples are presented.

Keywords:
Lagrange multiplier Mathematics Norm (philosophy) Optimization problem Control theory (sociology) Complex plane LTI system theory Constraint (computer-aided design) Mathematical optimization Transfer function Constrained optimization Linear system Invariant (physics) Computer science Mathematical analysis Control (management)

Metrics

12
Cited By
0.79
FWCI (Field Weighted Citation Impact)
14
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

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