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Aiming at the phenomenon of premature convergence and later period oscillatory occurrences, an adaptive particle swarm optimization algorithm with the changes of the population diversity was proposed. In the algorithm, the adaptive exponent decreasing inertia weight and a dynamic adaptive changing threshold were proposed, the satisfied particle of threshold will be mutation by the average distance...
The paper gives an improved particle swarm optimal algorithm in which a kind of exponent decreasing inertia weights is given to improve the convergence speed and a kind of stochastic mutations is used to improve the diversity of the swarm in order to overcome the disadvantage of premature convergence and later period oscillatory occurrences. It is shown by five representative benchmarks functionpsilas...
This paper concerns with the output feedback control for the nondeterministic discrete event systems (DES) with probabilities known. The nondeterministic DES models are introduced by using the minimax algebra to formalize the treatment of time sequences, and by using usual algebra to introduce a Markovian structure that assigns transition probabilities to events. Based on this representation, the...
Singular systems of the form E?? = f(x, u, t) are considered tractability is defined, a sufficient condition for tractability is derived, the maximum principle for optimal control problem is obtained, the properties of the Hamilton function and the forms of the functional are discussed, and two examples are given.
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