Introduction to Dynamic Systems

Introduction to Dynamic Systems
Author: David G. Luenberger
Publisher: John Wiley & Sons
Total Pages: 470
Release: 1979-05-28
Genre: Mathematics
ISBN:

Difference and differential equations; Linear algebra; Linear state equations; Linear systems with constant coefficients; Positive systems; Markov chains; Concepts of control; Analysis of nonlinear systems; Some important dynamic systems; Optimal control.

Feedback Control of Dynamic Systems Int

Feedback Control of Dynamic Systems Int
Author: J. David Powell
Publisher: Pearson Academic Computing
Total Pages:
Release: 2012-06
Genre: Feedback control systems
ISBN: 9781447935377

This text covers the material that every engineer, and most scientists and prospective managers, needs to know about feedback control, including concepts like stability, tracking, and robustness. Each chapter presents the fundamentals along with comprehensive, worked-out examples, all within a real-world context.

Modeling, Analysis, and Control of Dynamic Systems

Modeling, Analysis, and Control of Dynamic Systems
Author: William John Palm
Publisher:
Total Pages: 772
Release: 1983-01-28
Genre: Science
ISBN:

An integrated presentation of both classical and modern methods of systems modeling, response and control. Includes coverage of digital control systems. Details sample data systems and digital control. Provides numerical methods for the solution of differential equations. Gives in-depth information on the modeling of physical systems and central hardware.

Estimation and Control of Dynamical Systems

Estimation and Control of Dynamical Systems
Author: Alain Bensoussan
Publisher: Springer
Total Pages: 552
Release: 2018-05-23
Genre: Mathematics
ISBN: 3319754564

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control. Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical finance, as well as differential games. The book is self-contained and prioritizes concepts rather than full rigor, targeting scientists who want to use control theory in their research in applied mathematics, engineering, economics, and management science. Examples and exercises are included throughout, which will be useful for PhD courses and graduate courses in general. Dr. Alain Bensoussan is Lars Magnus Ericsson Chair at UT Dallas and Director of the International Center for Decision and Risk Analysis which develops risk management research as it pertains to large-investment industrial projects that involve new technologies, applications and markets. He is also Chair Professor at City University Hong Kong.

Control Theory of Digitally Networked Dynamic Systems

Control Theory of Digitally Networked Dynamic Systems
Author: Jan Lunze
Publisher: Springer Science & Business Media
Total Pages: 405
Release: 2013-07-06
Genre: Technology & Engineering
ISBN: 3319011316

The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics. The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.

Digital Control of Dynamic Systems

Digital Control of Dynamic Systems
Author: Gene F. Franklin
Publisher: Prentice Hall
Total Pages: 742
Release: 1998
Genre: Control theory
ISBN: 9780201331530

This work discusses the use of digital computers in the real-time control of dynamic systems using both classical and modern control methods. Two new chapters offer a review of feedback control systems and an overview of digital control systems. MATLAB statements and problems have been more thoroughly and carefully integrated throughout the text to offer students a more complete design picture.

Dynamic Systems And Control With Applications

Dynamic Systems And Control With Applications
Author: Ahmed Nasir Uddin
Publisher: World Scientific Publishing Company
Total Pages: 468
Release: 2006-08-29
Genre:
ISBN: 9813106824

In recent years significant applications of systems and control theory have been witnessed in diversed areas such as physical sciences, social sciences, engineering, management and finance. In particular the most interesting applications have taken place in areas such as aerospace, buildings and space structure, suspension bridges, artificial heart, chemotherapy, power system, hydrodynamics and computer communication networks. There are many prominent areas of systems and control theory that include systems governed by linear and nonlinear ordinary differential equations, systems governed by partial differential equations including their stochastic counter parts and, above all, systems governed by abstract differential and functional differential equations and inclusions on Banach spaces, including their stochastic counterparts. The objective of this book is to present a small segment of theory and applications of systems and control governed by ordinary differential equations and inclusions. It is expected that any reader who has absorbed the materials presented here would have no difficulty to reach the core of current research.

Data-Driven Science and Engineering

Data-Driven Science and Engineering
Author: Steven L. Brunton
Publisher: Cambridge University Press
Total Pages: 615
Release: 2022-05-05
Genre: Computers
ISBN: 1009098489

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.