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A dispatching algorithm of elevator group control system is proposed based on reinforcement learning. Elevator dispatching is modeled by a Markov Decision Process. Then an internally recurrent neural network based reinforcement learning method is designed to find the optimal dispatching policy while the state-action value function is iteratively approximated. Finally, several simulated experiments...
In this paper we design a control strategy for orientation coordination of multiple mobile robots system based on a nonlinear consensus algorithm. By using the nonlinear terms defined to indicate the orientation difference among neighbors, each robot control its own motion direction, and then all robots' orientations converge to the average of their initial values. A scheme of communication topology...
This paper introduces the Particle Swarm Optimization (PSO) in order to solve the problem that the current stochastic and deterministic optimization methods have not yet obtained the perfect solution to avoid local optimal solution, and the optimal search convergence speed is slow. According to the special nature of Switched Reluctance Motor (SRM) and its design features, the paper enhances PSO global...
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