Multilayer feedforward networks are universal approximators
Neural Networks
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A genetic algorithm for generating fuzzy classification rules
Fuzzy Sets and Systems
A Pursuit-Evasion Algorithm Based on Hierarchical Reinforcement Learning
ICMTMA '09 Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02
Randomized pursuit-evasion in a polygonal environment
IEEE Transactions on Robotics
Tuning of a neuro-fuzzy controller by genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A graph search algorithm for indoor pursuit/evasion
Mathematical and Computer Modelling: An International Journal
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
IEEE Transactions on Neural Networks
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This paper studies a simplified pursuit-evasion problem. We assume that the evader moves with constant speed along a trajectory that is well-defined and known a priori. The objective of steering control of the pursuer modeled as a nonholonomic unicycle-type mobile robot is to intercept the moving evader. An adaptive learning approach of fuzzy logic controller is developed as an inverse kinematics solver of unicycle to enable a mobile robot to use the evader trajectory to adapt its control actions to pursuit-evasion game. In this proposed approach, GA evolves the parameter values of the fuzzy logic control system aiming to approximate the inverse kinematics of pursuer so as to generate a trajectory capturing the evader. Simulation results of pursuit-evasion game illustrate the performance of the proposed approach.