A genetic agent-based negotiation system
Computer Networks: The International Journal of Computer and Telecommunications Networking
A New Approach to Detectability of Discrete-Time Infinite Markov Jump Linear Systems
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
IEEE Transactions on Evolutionary Computation
Automatica (Journal of IFAC)
Digital implementation of a magnetic suspension control system forlaboratory experiments
IEEE Transactions on Education
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This paper addresses the problem of long run average cost for linear systems with nonobserved Markov jump parameters. We present an algorithm that relies on the approximation of the (infinite horizon) cost via its finite horizon version and uses an evolutionary-based algorithm for the finite horizon cost. A numerical example illustrates the proposed algorithm.