Control of nonholonomic wheeled mobile robots by state feedback linearization
International Journal of Robotics Research
Discontinuous control of nonholonomic systems
Systems & Control Letters
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
A simple quantum-inspired bee colony algorithm for discrete optimisation problems
International Journal of Computer Applications in Technology
A hybrid particle swarm optimisation with social weight for non-convex economic dispatch problem
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
Adding memory condition to learning classifier systems to solve partially observable environments
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
A modified artificial bee colony algorithm with its applications in signal processing
International Journal of Computer Applications in Technology
International Journal of Computing Science and Mathematics
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This paper addresses the stabilisation problem of nonholonomic mobile robot with two trailers. A discontinuous control law is built after a suitable change of variables to achieve a quasi-exponential convergence of the system variables to the origin. Particle Swarm Optimisation technique is used to tune the controller parameters for optimised transient performance under constrained control signals. Simulation results are presented to illustrate the effectiveness of the presented approach.