Formal Controller Synthesis via Genetic Programming

Discrete Controller Synthesis Based On Genetic Programming

In this paper, an alternative way of a discrete controller synthesis is introduced. The synthesis is based on a proposed genetic programming algorithm, which is named Block Diagram Oriented Genetic Programming BDOGP. The standard GP structure tree is modified in such a way to obtain a complete block diagram of the discrete controller that satisfies a deadbeat response in a closed-loop system. I...

Constraint Programming for Controller Synthesis

LPV H2-Controller Synthesis using Nonlinear Programming

Controller synthesis for linear parameter varying (lpv) systems has received a lot of attention from the control community. This is mainly motivated by the wide range of non-linear dynamical systems that can be approximated by lpv-systems. In this paper a novel method is presented that, by only using local state space models as data, tries to solve the problem of finding a linear parameter vary...

Robust Controller Design via Linear Programming

This paper presents a linear programming (LP) algorithm for an optimal robust controller design under parametric uncertainty. This algorithm is based on the convex robust controller parameterization [6] which is available for uncertain plants in the form Gδ :    ( y z ) = G(s) ( u w )

Nonlinear Controller Design based on Genetic Programming

When designing controllers for linear, time-invariant (LTI) plants, one is limited by the fundamental limitations of linear feedback control. An example of such a limitation is Bode’s gain/phase relationship. The question arises whether these fundamental limitations can be ameliorated by the use of nonlinear feedback. It might seem disadvantageous to introduce nonlinearities in the loop, but an...