It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identificat...
Stability theory simple adaptive systems adaptive observers the control problem persistent excitation error models robust adaptive control the control problem - relaxation of as...
The paper presents a proof of stability of model reference adaptive control systems using direct control. The structure of the adaptive system is similar to that considered by M...
The paper presents a proof of stability of the model reference adaptive control problem for the discrete case.
A class of self-optimizing systems which continually alter their parameters to reduce a mean-square performance criterion is described. The change in each parameter is determine...
A method of self-optimization using system models to compute error-criterion gradients in a parameter space is extended to time-varying systems. When the parameters are permitte...
The principal contribution of this paper is a new result on the decentralized control of finite Markov chains with unknown transition probabilities and rewords. One decentralize...
A sequential stochastic game among an arbitrary number of players in which all players' payoffs are identical is analyzed. The players are unaware that they are in a game and he...
This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random enviro...
h-index: Number of publications with at least h citations each.