Cooperative control of multiple mobile robot using particle swarm optimization for tracking two passive target
This paper proposes a cooperative control method for multiple mobile robots to track two passive targets in unknown environment on the basis of a particle swarm optimization (PSO). By adjusting the left and right wheels speed of the mobile robot using the proposed control method, each mobile robot can move towards the target on the basis of information about the previous best location of each particle and its neighbors. The simulation results demonstrate the validity of the proposed cooperative control method of multiple mobile robots for tracking two passive targets.
Gradient-free numerical optimization-based extremum seeking control for multiagent systems
In this article, we develop a model- and gradient-free numerical optimization-based extremum seeking control scheme to solve the problem of formation control and target tracking in multiagent systems. Unlike in conventional gradient-based extremum seeking control, we do not make the strong assumption that the gradient and/or the Hessian of the objective function can be analytically computed from continuously measured system states. Rather, we employ a derivative-free numerical optimization method that directly builds an approximate model of the objective function. After showing the global convergence of the optimization algorithm, we use a regulator to drive the states of the system to the optimizer of the unknown performance function. We demonstrate the performance of the control scheme by simulations where we control three agents that are given a random initial position and are required to maintain an equilateral triangle formation while tracking and localizing a source signal with unknown spatial dynamics.
An Introduction to Fuzzy Logic Applications
From the Publisher: 
Fuzzy Logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focussed approach to selected topics in Engineering and Management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider applications.