Dynamic Programming and Stochastic Control
Dynamic Programming and Stochastic Control
Paper: Theory and applications of self-tuning regulators
Automatica (Journal of IFAC)
A stable MRAC design for discrete plants with unmodelled dynamics
Mathematical and Computer Modelling: An International Journal
Hi-index | 22.14 |
The paper investigates adaptive control of discrete-time processes satisfying first-order linear difference equations with random coefficients which may be constant or time-varying. Structural relationships between sub-optimal adaptive control laws are discussed and results of systematic Monte-Carlo simulations are reported. These lead to a comparison of two sub-optimal adaptive controls ('optimal-k-step-ahead' and 'self-tuning') and to conclusions about the need for and effectiveness of adaptive control of the systems simulated. It is conjectured that the results and the classification scheme they suggest might have more general validity.