Foreword; Abbreviations; Notation; 1. Flexible manipulators -- an overview; 2. Design of a flexible manipulator experimental system; 3. Dynamic characterisation of a single-link flexible manipulator; 4. Finite difference modelling; 5. Finite element modelling; 6. Linear parametric modelling; 7. Neural network modelling; 8. Open-loop control using command generation techniques; 9. Collocated and non-collocated control; 10. Hybrid iterative learning control; 11. Fuzzy logic control; 12. Multi-objective genetic algorithm control; 13. Multi-objective particle swarm optimisation control
14. Evolutionary neuro-fuzzy control15. Software environment for modelling and control of flexible manipulators; References; Index
Summary
Industrial automation is driving the development of robot manipulators in various applications, with much of the research effort focussed on flexible manipulators and their advantages compared to their rigid counterparts. This book reports recent advances and new developments in the analysis and control of these robot manipulators
