Trajectory Following Methods in Control System Design
Journal of Global Optimization
Robust fuzzy logic control of mechanical systems
Fuzzy Sets and Systems - Theme: Fuzzy control
Lyapunov design for safe reinforcement learning
The Journal of Machine Learning Research
Optimal position control strategy in manipulators robot using shooting method
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Direct neural network-based self-tuning control for a class of nonlinear systems
International Journal of Systems Science
Velocity planning for a mobile robot to track a moving target - a potential field approach
Robotics and Autonomous Systems
International Journal of Robotics Research
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems
Expert Systems with Applications: An International Journal
Heuristic search in infinite state spaces guided by Lyapunov analysis
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Jointly optimized rate and outer loop power control with single-and multi-user detection
IEEE Transactions on Wireless Communications
Learning variable impedance control
International Journal of Robotics Research
Nonlinear adaptive control of a chemical reactor
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Computing a basin of attraction to a target region by solving bilinear semi-definite problems
CASC'11 Proceedings of the 13th international conference on Computer algebra in scientific computing
P systems and the modeling of biochemical oscillations
WMC'05 Proceedings of the 6th international conference on Membrane Computing
Sugeno-type fuzzy time-optimal controller for nonlinear systems
Fuzzy Sets and Systems
Multi-joint coordination of vertical arm movement
Applied Bionics and Biomechanics
| Hi-index | 0.00 |
From the Publisher:Nonlinear and Optimal Control Systems offers a self-contained introduction to analysis techniques used in the design of nonlinear and optimal feedback control systems, with a solid emphasis on the fundamental topics of stability, controllability, optimality, and the corresponding geometry. The book develops and presents these key subjects in a unified fashion. An integrated approach is used to develop stability theory, function minimizing feedback controls, optimal controls, and differential game theory. Starting with a background on differential equations, this accessible text examines nonlinear dynamical systems and nonlinear control systems, including basic results in nonlinear parameter optimization and parametric two-player games. Lyapunov stability theory and control system design are discussed in detail, followed by in-depth coverage of the controllability minimum principle and other important controllability concepts. The optimal control (Pontryagin's) minimum principle is developed and then applied to optimal control problems and the design of optimal controllers. Nonlinear and Optimal Control Systems features examples and exercises taken from a wide range of disciplines and contexts - from engineering control designs to biological, economic, and other systems. Numerical algorithms are provided for solving problems in optimization and control, as well as simulation of systems using nonlinear differential equations. Readers may choose to develop their own code from these algorithms or solve problems with the help of commercial software programs. Providing readers with a sturdy foundation in nonlinear and optimal control system design and application, this new resource is a valuable asset to advanced students and professional engineers in many different fields.