Title :
A recursive construction algorithm for covariance control
Author :
Iwasaki, T. ; Skelton, R.E. ; Corless, M.
Author_Institution :
Dept. of Control Eng., Tokyo Inst. of Technol., Japan
fDate :
2/1/1998 12:00:00 AM
Abstract :
This paper proposes an algorithm to compute solutions X to the linear matrix equation and inequality of the type (I-BB+)(AX+XA´+W)(I-BB+)=0, X>0. This problem arises in the synthesis of covariance controllers; the set of symmetric matrices X assignable as a closed-loop state covariance by a stabilizing controller is characterized by these conditions. Our algorithm generates analytical solutions to the above problem in a recursive manner. In this sense, our algorithm is essentially different from other computational methods pertinent to this problem, such as convex programming. As a result, the algorithm does not involve the issue of convergence and terminates in an a priori known finite number of steps. Thus, the computational complexity is expected to be much less than that of other methods
Keywords :
Lyapunov methods; closed loop systems; computational complexity; continuous time systems; covariance matrices; linear systems; robust control; stochastic processes; Lyapunov method; closed-loop systems; computational complexity; continuous time systems; covariance control; linear matrix inequality; linear time invariant systems; numerical method; recursive construction algorithm; robust control; state covariance; stochastic process; Automatic control; Feedback loop; Gain; Hydraulic actuators; Linear systems; Nonlinear equations; Nonlinear systems; Riccati equations; Stability; State feedback;
Journal_Title :
Automatic Control, IEEE Transactions on