| Description |
1 online resource (778 pages) |
| Contents |
Part I Introduction and Linear Systems -- Introduction to Nonlinear Systems Modelling and Control -- Review of Linear Optimal Control Laws -- Part II Polynomial systems nonlinear control -- Open-loop and feedforward nonlinear control -- Nonlinear GMV feedback optimal control -- Nonlinear quadratic gaussian and H∞ robust control -- Linear and nonlinear predictive optimal control -- Part II State-space systems nonlinear control -- State-space approach to nonlinear optimal control -- State-space nonlinear predictive optimal control -- LPV and state-dependent nonlinear optimal control -- LPV/State-dependent nonlinear predictive optimal control -- Part II Estimation, Condition Monitoring and Fault Detection for Nonlinear Systems -- Nonlinear estimation methods: polynomial systems approach -- Nonlinear estimation and condition monitoring: state-space approach -- Part III Industrial Applications -- Nonlinear industrial process and power control applications -- Nonlinear automotive, aerospace, marine and robotic applications |
| Summary |
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox (downloadable from www.springer.com/978-1-4471-7455-4) that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Control theory.
|
|
Control theory
|
| Form |
Electronic book
|
| Author |
Majecki, Paweł
|
| ISBN |
9781447174578 |
|
1447174577 |
|
