Page 664 - The Mechatronics Handbook

29 Digital Signal Processing for Mechatronic Applications Bonnie S. Heck
and Thomas R. Kurfess
Introduction • Signal Processing Fundamentals • Continuous-Time to Discrete-Time
Mappings • Digital Filter Design • Digital Control Design
2
30 Control System Design Via H Optimization Armando A. Rodriguez
2
Introduction • General Control System Design Framework • H Output Feedback
2 2
Problem • H State Feedback Problem • H Output Injection Problem • Summary
31 Adaptive and Nonlinear Control Design Maruthi R. Akella
Introduction • Lyapunov Theory for Time-Invariant Systems • Lyapunov Theory for
Time-Varying Systems • Adaptive Control Theory • Nonlinear Adaptive Control
Systems • Spacecraft Adaptive Attitude Regulation Example • Output Feedback Adaptive
Control • Adaptive Observers and Output Feedback Control • Concluding Remarks
32 Neural Networks and Fuzzy Systems Bogdan M. Wilamowski
Neural Networks and Fuzzy Systems • Neuron Cell • Feedforward Neural
Networks • Learning Algorithms for Neural Networks • Special Feedforward
Networks • Recurrent Neural Networks • Fuzzy Systems • Genetic Algorithms
33 Advanced Control of an Electrohydraulic Axis Florin Ionescu, Crina Vlad,
and Dragos Arotaritei
Introduction • Generalities Concerning Robi_3, A Cartesian Robot With Three
Electrohydraulic Axes • Mathematical Model and Simulation of Electrohydraulic
Axes • Conventional Controllers Used in Order to Control the Electrohydraulic
Axis • Control of Electrohydraulic Axis with Fuzzy Controllers • Neural Techniques
Used to Control the Electrohydraulic Axis • Neuro-Fuzzy Techniques Used to Control
the Electrohydraulic Axis • Software Consideration • Conclusions
34 Design Optimization of Mechatronic Systems Tomas Brezina,
Ctirad Kratochvil, and Cestmir Ondrusek
Introduction • Optimization Methods • Optimum Design of Induction Motor (IM) • The
Use of a Neuron Network for the Identification of the Parameters of a Mechanical Dynamic
System

©2002 CRC Press LLC