Analysis and Control of Nonlinear Process Systems
Title | Analysis and Control of Nonlinear Process Systems PDF eBook |
Author | Katalin M. Hangos |
Publisher | Springer Science & Business Media |
Pages | 325 |
Release | 2006-04-18 |
Genre | Mathematics |
ISBN | 185233861X |
This straightforward text makes the complicated but powerful methods of non-linear control accessible to process engineers. Not only does it cover the necessary mathematics, but it consistently refers to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.
Nonlinear Process Control
Title | Nonlinear Process Control PDF eBook |
Author | Michael A. Henson |
Publisher | Prentice Hall |
Pages | 460 |
Release | 1997 |
Genre | Science |
ISBN |
Nonlinear Process Control assembles the latest theoretical and practical research on design, analysis and application of nonlinear process control strategies. It presents detailed coverage of all three major elements of nonlinear process control: identification, controller design, and state estimation. Nonlinear Process Control reflects the contributions of eleven leading researchers in the field. It is an ideal textbook for graduate courses in process control, as well as a concise, up-to-date reference for control engineers.
Nonlinear Process Control
Title | Nonlinear Process Control PDF eBook |
Author | M. Chidambaram |
Publisher | John Wiley & Sons |
Pages | 160 |
Release | 1995 |
Genre | Science |
ISBN |
This Book Is Intended For Researchers In Process Control And Applied Mathematics. It Can Also Serve As A Textbook For Graduate Students Interested In Nonlinear Control Theory.After Discussing The Basic Design Method Of Model Reference Nonlinear Controller (Mrnc), The Book Deals With The Incorporation Of Explicit Integral And Derivative Actions In The Control Law. Extension Of The Method To Systems With Relative Order Two And Higher Is Provided. The Design Of Series Cascade Mrnc Systems And Parallel Cascade Mrnc Systems Are Given.Extensions Of Mrnc For Systems With Significant Measurement Dynamics Or Actuator Dynamics Are Made. The Design Method Of Mrnc For Systems With Delay In Measurement Or In Actuator Is Provided.Simulation Studies On Several Nonlinear Processes Prove The Effectiveness Of The Mrnc.
Nonlinear Industrial Control Systems
Title | Nonlinear Industrial Control Systems PDF eBook |
Author | Michael J. Grimble |
Publisher | Springer Nature |
Pages | 778 |
Release | 2020-05-19 |
Genre | Technology & Engineering |
ISBN | 1447174577 |
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 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.
Optimal Control of Nonlinear Processes
Title | Optimal Control of Nonlinear Processes PDF eBook |
Author | Dieter Grass |
Publisher | Springer Science & Business Media |
Pages | 552 |
Release | 2008-07-24 |
Genre | Business & Economics |
ISBN | 3540776478 |
Dynamic optimization is rocket science – and more. This volume teaches researchers and students alike to harness the modern theory of dynamic optimization to solve practical problems. These problems not only cover those in space flight, but also in emerging social applications such as the control of drugs, corruption, and terror. This volume is designed to be a lively introduction to the mathematics and a bridge to these hot topics in the economics of crime for current scholars. The authors celebrate Pontryagin’s Maximum Principle – that crowning intellectual achievement of human understanding. The rich theory explored here is complemented by numerical methods available through a companion web site.
Analysis and Control of Nonlinear Systems
Title | Analysis and Control of Nonlinear Systems PDF eBook |
Author | Jean Levine |
Publisher | Springer Science & Business Media |
Pages | 322 |
Release | 2009-05-28 |
Genre | Technology & Engineering |
ISBN | 3642008399 |
This book examines control of nonlinear systems. Coverage ranges from mathematical system theory to practical industrial control applications. The author offers web-based videos illustrating some dynamical aspects and case studies in simulation.
Nonlinear Process Control:
Title | Nonlinear Process Control: PDF eBook |
Author | Peter L. Lee |
Publisher | Springer Science & Business Media |
Pages | 254 |
Release | 2012-12-06 |
Genre | Technology & Engineering |
ISBN | 1447120795 |
It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. The volume editor has drawn together a number of industrial case studies where Generic Model Control has been successfully applied. Each case study is documented and described in detail. Nonlinear Process Control will be of particular interest to industrial practitioners. It provides a tutorial introduction to Generic Model Control and assists them in applying modern control methods to their processes.