Title :
On maximizing the convergence rate for linear systems with input saturation
Author :
Hu, Tingshu ; Lin, Zongli ; Shamash, Yacov
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
fDate :
7/1/2003 12:00:00 AM
Abstract :
In this note, we consider a few important issues related to the maximization of the convergence rate inside a given ellipsoid for linear systems with input saturation. For continuous-time systems, the control that maximizes the convergence rate is simply a bang-bang control. Through studying the system under the maximal convergence control, we reveal several fundamental results on set invariance. An important consequence of maximizing the convergence rate is that the maximal invariant ellipsoid is produced. We provide a simple method for finding the maximal invariant ellipsoid, and we also study the dependence of the maximal convergence rate on the Lyapunov function.
Keywords :
Lyapunov methods; bang-bang control; convergence; invariance; linear systems; time optimal control; Lyapunov function; bang-bang control; continuous-time systems; convergence rate maximization; ellipsoid; input saturation; linear systems; maximal convergence control; set invairiance; time optimal control; Control systems; Convergence; Ellipsoids; Hydraulic actuators; Level set; Linear systems; Lyapunov method; Nonlinear systems; Optimal control; Stability;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.814271