Title :
Nonlinear control synthesis by convex optimization
Author :
Prajna, Stephen ; Parrilo, Pablo A. ; Rantzer, Anders
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
A stability criterion for nonlinear systems, recently derived by the third author, can be viewed as a dual to Lyapunov´s second theorem. The criterion is stated in terms of a function which can be interpreted as the stationary density of a substance that is generated all over the state-space and flows along the system trajectories toward the equilibrium. The new criterion has a remarkable convexity property, which in this note is used for controller synthesis via convex optimization. Recent numerical methods for verification of positivity of multivariate polynomials based on sum of squares decompositions are used.
Keywords :
control system analysis; control system synthesis; convergence; convex programming; nonlinear control systems; polynomials; relaxation theory; stability; state-space methods; convex optimization; convexity property; multivariate polynomials; nonlinear control synthesis; semidefinite programming relaxation; stability criterion; state-space methods; stationary substance density; sum of squares decompositions; system trajectories; Automatic control; Control system synthesis; Functional programming; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Nonlinear systems; Optimization methods; Polynomials; Stability criteria;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.823000