Name
Abstract | ||
|---|---|---|
Convergence properties of a self-tuning regulator incorporating an input mean-square constraint are studied. An algorithm, derived from the long-range controller MUSMAR, is considered. For this algorithm, using the ODE method for analysing stochastic recursive algorithms and singularly perturbed ODE theory, a local convergence result is proved. This result characterizes possible convergence points of the algorithm as the constrained minima of the underlying steady-state quadratic cost. The actual convergence of the algorithm to the possible equilibrium points predicted by theory is verified by means of simulation examples including unmodelled plant dynamics. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1016/0005-1098(92)90183-G | Automatica |
Keywords | Field | DocType |
Adaptive control,predictive control,input constraints,convergence analysis,ODE method,LQ control | Convergence (routing),Control theory,Mathematical optimization,Control theory,Equilibrium point,Maxima and minima,Local convergence,Adaptive control,Stochastic approximation,Ode,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 3 | 0005-1098 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Mosca | 1 | 13 | 17.07 |
| J. M. Lemos | 2 | 18 | 3.98 |
| Teresa Mendonça | 3 | 98 | 19.85 |
| P. Nistri | 4 | 313 | 15.79 |