New method for optimal control and filtering of weakly coupled linear discrete stochastic systems
Automatica (Journal of IFAC)
Parallel Algorithms for Optimal Control of Large Scale Linear Systems
Parallel Algorithms for Optimal Control of Large Scale Linear Systems
Linear Optimal Control Systems
Linear Optimal Control Systems
Aspects regarding a new method for the optimal control law's synthesis of aircrafts' move
WSEAS Transactions on Circuits and Systems
Optimal control of flying objects' move after estimated state vector using a reduced order observer
WSEAS Transactions on Circuits and Systems
Solutions for nonlinear multivariable processes control
WSEAS Transactions on Systems and Control
Fuzzy programming problem in the weakly structurable dynamic system and choice of decisions
WSEAS Transactions on Systems and Control
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In this paper the regulator and filter algebraic Riccati equations, corresponding to the steady state optimal control and filtering of weakly coupled linear discrete stochastic systems are solved in terms of reduced-order sub problems by using the eigenvector approach. The eigenvector method outperforms iterative methods (fixed point iterations, Newton method) of solutions to reduced-order sub problems in case of higher level of coupling between subsystems. In such cases the iterative methods could fail to produce solutions of the corresponding algebraic Riccati equations.