Title :
Asymptotically Stable Direct Model Reference Adaptive Controllers for Processes Not Necessarily Satisfying a Positive Real Constraint
Author :
Kaufman, Howard ; Neat, Gregory W.
Author_Institution :
Rensselaer Polytechnic Institute, ECSE Department, Troy, New York 12180-3590
Abstract :
A new modification is suggested to guarantee asymptotic output tracking for an easily implemented direct model reference adaptive controller. This result, which alleviates a very restrictive positive real constraint, greatly expands the class of processes that can now be controlled. This paper presents an illustrative example demonstrating the utility of the algorithm.
Keywords :
Adaptive control; Asymptotic stability; Filters; Force feedback; NASA; Performance gain; Process control; Programmable control; State feedback; Steady-state;
Conference_Titel :
American Control Conference, 1991
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-87942-565-2