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| Author | : Frederick O. Smetana |
| Publisher | : AIAA |
| Total Pages | : 746 |
| Release | : 1994 |
| Genre | : Automatic control |
| ISBN | : 9781600860812 |
| 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.
| Author | : Frederick O. Smetana |
| Publisher | : |
| Total Pages | : 713 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
| 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.
| 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.
| Author | : Craig A. Kluever |
| Publisher | : Wiley Global Education |
| Total Pages | : 416 |
| Release | : 2019-12-24 |
| Genre | : Technology & Engineering |
| ISBN | : 1119601983 |
The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB® and Simulink® software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems. Designed for introductory courses in dynamic systems and control, this textbook emphasizes practical applications through numerous case studies—derived from top-level engineering from the AMSE Journal of Dynamic Systems. Comprehensive yet concise chapters introduce fundamental concepts while demonstrating physical engineering applications. Aligning with current industry practice, the text covers essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical, and fluid subsystem components. Major topics include mathematical modeling, system-response analysis, and feedback control systems. A wide variety of end-of-chapter problems—including conceptual problems, MATLAB® problems, and Engineering Application problems—help students understand and perform numerical simulations for integrated systems.
| Author | : Juš Kocijan |
| Publisher | : Springer |
| Total Pages | : 281 |
| Release | : 2015-11-21 |
| Genre | : Technology & Engineering |
| ISBN | : 3319210211 |
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
| 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.
| Author | : David G. Luenberger |
| Publisher | : |
| Total Pages | : 356 |
| Release | : 1973 |
| Genre | : Linear programming |
| ISBN | : 9780201043457 |
| Author | : Rama K. Yedavalli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 217 |
| Release | : 2013-12-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1461491320 |
This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach. This book also: Presents and formulates the robustness problem in a linear state space model framework. Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering. Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches. Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.
