Nonlinear Systems

Nonlinear Systems

The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.

Author: Hassan K. Khalil

Publisher: Pearson

ISBN: 1292039213

Category: Nonlinear control theory

Page: 556

View: 511

For a first-year graduate-level course on nonlinear systems. It may also be used for self-study or reference by engineers and applied mathematicians. The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.
Categories: Nonlinear control theory

Fractional Order Systems

Fractional Order Systems

Modelling With Differential and Difference Equations. Australian Mathematical Society Lecture Series 10. Cambridge University Press, Cambridge. Khalil, H., 2014. Nonlinear Systems. Pearson New International Edition, Edinburgh Gate.

Author: Ahmad Taher Azar

Publisher: Academic Press

ISBN: 9780128163085

Category: Technology & Engineering

Page: 741

View: 486

Fractional Order Systems: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject experts. Chapters offer practical solutions and novel methods for recent research problems in the multidisciplinary applications of fractional order systems, such as FPGA, circuits, memristors, control algorithms, photovoltaic systems, robot manipulators, oscillators, etc. This book is ideal for researchers working in the modeling and applications of both continuous-time and discrete-time dynamics and chaotic systems. Researchers from academia and industry who are working in research areas such as control engineering, electrical engineering, mechanical engineering, computer science, and information technology will find the book most informative. Discusses multi-disciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems based on the new nonlinear elements Covers most of the linear and nonlinear fractional-order theorems that will solve many scientific issues for researchers Closes the gap between theoretical approaches and real-world applications Provides MATLAB® and Simulink code for many of the applications in the book
Categories: Technology & Engineering

Nonlinear Industrial Control Systems

Nonlinear Industrial Control Systems

Khalil H (2002) Nonlinear systems, 3rd edn (international edition). Pearson Ed 3. Isidori A (1995) Nonlinear control systems, 3rd edn. Springer, London 4. Atherton DP (1982) Nonlinear control engineering. Van Nostrand Reinhold, New York ...

Author: Michael J. Grimble

Publisher: Springer Nature

ISBN: 9781447174578

Category: Technology & Engineering

Page: 764

View: 850

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.
Categories: Technology & Engineering

Analysis and Synthesis of Nonlinear Control Systems

Analysis and Synthesis of Nonlinear Control Systems

IEEE Trans. Autom. Control 26(4), 811–831 (1981) 71. Goldstein, H., Poole, C.P., Safko, J.L.: Classical Mechanics: Pearson New International Edition. Pearson Higher Ed, London (2014) 72. Kibble, T., Berkshire, F.H.: Classical Mechanics.

Author: Miguel Bernal

Publisher: Springer Nature

ISBN: 9783030907730

Category: Automatic control

Page: 349

View: 225

This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi-Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.
Categories: Automatic control

Linear and Non Linear System Theory

Linear and Non Linear System Theory

R. C. Dorf, R. H. Bishop, Modern Control System, 10th Edition, Pearson Education, 2004. M. Gopal, Modern Control System Theory, 2nd Edition, New Age International, 1993. M. Gopal, Control Systems Principles and Design, 3rd Edition, ...

Author: T Thyagarajan

Publisher: CRC Press

ISBN: 9781000204339

Category: Technology & Engineering

Page: 218

View: 189

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an objective to understand the basics of state space approach linear and non-linear systems and its analysis thereof. Divided into eight chapters, materials cover an introduction to the advanced topics in the field of linear and non-linear systems, optimal control and estimation supported by mathematical tools, detailed case studies and numerical and exercise problems. This book is aimed at senior undergraduate and graduate students in electrical, instrumentation, electronics, chemical, control engineering and other allied branches of engineering. Features Covers both linear and non-linear system theory Explores state feedback control and state estimator concepts Discusses non-linear systems and phase plane analysis Includes non-linear system stability and bifurcation behaviour Elaborates optimal control and estimation
Categories: Technology & Engineering

Ad Hoc Mobile and Wireless Networks

Ad Hoc  Mobile  and Wireless Networks

19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings Luigi Alfredo Grieco, Gennaro Boggia, ... Khalil, H.: Nonlinear Systems: Pearson New International Edition.

Author: Luigi Alfredo Grieco

Publisher: Springer Nature

ISBN: 9783030617462

Category: Computers

Page: 316

View: 907

This book constitutes the refereed proceedings of the 19th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2020, held in Bari, Italy, in October 2020.* The 19 full and 4 short papers presented were carefully reviewed and selected from 39 submissions. The papers provide an in-depth and stimulating view on the new frontiers in the field of mobile, ad hoc and wireless computing. They are organized in the following topical sections: intelligent, programmable and delay- and disruption- tolerant networks; internet of drones and smart mobility; internet of things and internet of medical things; secure communication protocols and architectures; and wireless systems. *The conference was held virtually due to the COVID-19 pandemic.
Categories: Computers

Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling

3.6 CONCLUSION In this chapter, a complete overview of a recent class of adaptive nonlinear filters, SAFs, has been provided. ... [10] S. Haykin, Neural Networks and Learning Machines, 2nd edition, Pearson Publishing, ...

Author: Danilo Comminiello

Publisher: Butterworth-Heinemann

ISBN: 9780128129777

Category: Technology & Engineering

Page: 388

View: 820

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.
Categories: Technology & Engineering

Nonlinear System Identification

Nonlinear System Identification

Billings, S.A., Korenberg, M.J., and Chen, S. (1988) Identification of non-linear output-affine systems using an orthogonal ... International Journal of Circuit Theory and Application, 17, 151–190. ... New York: IEEE Press.

Author: Stephen A. Billings

Publisher: John Wiley & Sons

ISBN: 9781119943594

Category: Technology & Engineering

Page: 605

View: 471

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation methods that can be applied to any model class Generalised frequency response functions which provide significant insight into nonlinear behaviours A completely new class of filters that can move, split, spread, and focus energy The response spectrum map and the study of sub harmonic and severely nonlinear systems Algorithms that can track rapid time variation in both linear and nonlinear systems The important class of spatio-temporal systems that evolve over both space and time Many case study examples from modelling space weather, through identification of a model of the visual processing system of fruit flies, to tracking causality in EEG data are all included to demonstrate how easily the methods can be applied in practice and to show the insight that the algorithms reveal even for complex systems NARMAX algorithms provide a fundamentally different approach to nonlinear system identification and signal processing for nonlinear systems. NARMAX methods provide models that are transparent, which can easily be analysed, and which can be used to solve real problems. This book is intended for graduates, postgraduates and researchers in the sciences and engineering, and also for users from other fields who have collected data and who wish to identify models to help to understand the dynamics of their systems.
Categories: Technology & Engineering

Applications in Control

Applications in Control

... Nonlinear Systems, Pearson Education, 3rd edition, Prentice Education International, New Jersey, USA, 2000. C.F. Lorenzo and T.T. Hartley, Initialization in fractional order systems, in Proceedings of the European Control Conference ...

Author: Ivo Petráš

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110571745

Category: Mathematics

Page: 435

View: 663

This multi-volume handbook is the most up-to-date and comprehensive reference work in the field of fractional calculus and its numerous applications. This sixth volume collects authoritative chapters covering several applications of fractional calculus in control theory, including fractional controllers, design methods and toolboxes, and a large number of engineering applications of control.
Categories: Mathematics

Nonlinear Systems

Nonlinear Systems

The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.

Author: Hassan K. Khalil

Publisher: Pearson Higher Ed

ISBN: 9781292053851

Category: Technology & Engineering

Page: 561

View: 600

For a first-year graduate-level course on nonlinear systems. It may also be used for self-study or reference by engineers and applied mathematicians. The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.
Categories: Technology & Engineering