Title :
Parameter design algorithm for multivariable dynamic systems
Author :
Perepyolkin, E.A.
Author_Institution :
Altai State Tech. Univ., Barnaul, Russia
Abstract :
The paper is devoted to a solution of the parameter design problem for linear multivariable deterministic and stochastic systems. Parameter design is formulated as a nonlinear optimization problem on a set of solutions of the Lyapunov matrix algebraic equation. The possibility of application of gradient optimization methods for the determination of the best value of the adjusted parameters vector is considered. Formulae for evaluation of the gradient of the minimized function are derived. As an example, the parameter design problem of aircraft longitudinal motion is considered. Calculation and simulation results are given. The results should be useful for computer aided design control systems of complex technical objects
Keywords :
Lyapunov matrix equations; aircraft control; control system synthesis; gradient methods; minimisation; multivariable control systems; stochastic systems; Lyapunov matrix algebraic equation; aircraft longitudinal motion; complex technical objects; computer aided design control systems; gradient optimization methods; linear multivariable deterministic systems; linear multivariable stochastic systems; minimized function gradient; multivariable dynamic systems; nonlinear optimization problem; parameter design algorithm; Aircraft; Algorithm design and analysis; Computational modeling; Design optimization; Heuristic algorithms; Matrices; Nonlinear equations; Optimization methods; Stochastic systems; Vectors;
Conference_Titel :
Electronic Instrument Engineering Proceedings, 1998. APEIE-98. Volume 1. 4th International Conference on Actual Problems of
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-4938-5
DOI :
10.1109/APEIE.1998.768988
