Gain scheduling via linear fractional transformations
Systems & Control Letters
On the Kalman-Yakubovich-Popov lemma
Systems & Control Letters
Optimal regulation of systems described by a countably infinite number of objects
Automatica (Journal of IFAC)
On the optimality of localised distributed controllers
International Journal of Systems, Control and Communications
Design of optimal controllers for spatially invariant systems with finite communication speed
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Control limitations from distributed sensing: Theory and Extremely Large Telescope application
Automatica (Journal of IFAC)
Hi-index | 22.15 |
A method is presented to impose localization in controller design for distributed arrays with underlying spatial invariance. The method applies to either state or output feedback problems where the performance objective (e.g., stabilization, H"2 or H"~ control) can be stated in terms of the search for a suitable Lyapunov matrix over spatial frequency. By restricting this matrix to be constant across frequency, controller localization can be naturally imposed. Thus, we obtain sufficient conditions for the existence of a controller with the desired localization and performance, which take the form of linear matrix inequalities (LMIs) over spatial frequency. For one-dimensional arrays, we further show how to convert these conditions exactly to finite-dimensional LMIs by means of the Kalman-Yakubovich-Popov Lemma; extensions to the multi-dimensional case are also discussed.