DECENTRALIZED CONTROL THROUGH PARAMETER SPACE OPTIMIZATION

The decentralized control problem for linear dynamic systems is revisi ted using a parameter space approach which enables the definition of t he decentralized feedbacks from the existence of non-empty parameter c onvex sets. The convexity property enables the derivation of efficient numerical algorithms based on standard approaches in convex programmi ng. The continuous-time and discrete-time cases are investigated and t he decentralized control design is also treated to meet other importan t assignments such as: optimal H-2 performance index, absolute stabili ty, H-infinity, prescribed attenuation and robustness against actuator failures. Some numerical experiments illustrate the potential of this new control design.