السلام عليكم ورحمة الله وبركاته

تفضلوا أعزائي هذه المجموعه من الكتب في مجال انطمت التحكم Control System والتي تغطي مستويات عده , من مستوى البكالوريس الى الدكتوراه

وننوه هنا اخواني ان الكتب التي تقدم في المنتديات الهندسيه ليست موجه فقط الى المرحله الدراسيه الأولى " بكالوريس" ولكنها باذن الله تشمل المراحل المتقدمه ايضا

وبهذا نسعى لتقديم المراجع التي يحتاجها الطلاب والأساتذه قبل وبعد التخرج ,, لتكون لديه المكتبه المتكامله التي تساعده في حياته العلميه والعمليه


والان مع الكتب

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Automated Continuous Process Control



Product Details
Hardcover: 240 pages
Publisher: Wiley-Interscience; Bk&CD-Rom edition (February 22, 2002)
Language: English
ISBN: 0471215783

"...explains the practical design and operation of process control systems..." (SciTech Book News, Vol. 26, No. 2, June 2002)
“…a book worth adding to any process control library shelf…” (Measurement & Control, April 2003)

Measurement & Control, April 2003
...a book worth adding to any process control library shelf...


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Classical Feedback Control: With MATLAB (Control Engineering (Marcel Dekker), 6.)



ISBN: 0824703707
Author: Boris J. Lurie
Publisher: CRC
Edition: (February 9, 2000)
Hardcover: 480 pages
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0824703707
Summary:
This text describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping and nonlinear dynamic compensation. The book also supplies numerous problems with practcal applications, illustrations and plots, together with MATLAB simulation and design examples.


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Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis





ISBN: 0471416568
Author: Olaf Wolkenhauer
Publisher: Wiley-Interscience
Edition: 1 edition (July 6, 2001)
Hardcover: 296 pages
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0471416568
Summary:
Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts. This book fills the gap in the field, offering a clear, user-friendly introduction to the main theoretical and practical tools for analyzing complex systems. An ftp site features the corresponding MATLAB and Mathematical tools and simulations.
Market: Researchers in data management, electrical engineering, computer science, and life sciences.

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Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach



ISBN: 0471323241
Author: Kazuo Tanaka / Hua O. Wang / Hua O. Wang
Publisher: Wiley-Interscience
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0471323241
Summary:
A comprehensive treatment of model-based fuzzy control systems
This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.
Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model.
This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field.
Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.

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High Performance Control (Systems & Control: Foundations & Applications)



Book Description
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory and practice of high performance control in a real world environment. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems. DLC: Automatic control.

Book Info
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory and practice of high performance control in a real world environment. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems. DLC: Automatic control.


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Linear optimal control (Prentice-Hall networks series)


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Modeling and High Performance Control of Electric Machines (IEEE Press Series on Power Engineering)



ISBN: 047168449X
Author: John Chiasson
Publisher: Wiley-IEEE Press
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F047168449X
Summary:
Modeling and High Performance Control of Electric Machines introduces you to both the modeling and control of electric machines. The direct current (DC) machine and the alternating current (AC) machines (induction, PM synchronous, and BLDC) are all covered in detail. The author emphasizes control techniques used for high-performance applications, specifically ones that require both rapid and precise control of position, speed, or torque. You’ll discover how to derive mathematical models of the machines, and how the resulting models can be used to design control algorithms that achieve high performance. Graduate students studying power and control as well as practicing engineers in industry will find this a highly readable text on the operation, modeling, and control of electric machines.

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Modern Control Engineering (4th Edition)



Book Description

This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory—and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout the book. Chapter topics include the Laplace transform; mathematical modeling of mechanical systems, electrical systems, fluid systems, and thermal systems; transient and steady-state-response analyses, root-locus analysis and control systems design by the root-locus method; frequency-response analysis and control systems design by the frequency-response; two-degrees-of-freedom control; state space analysis of control systems and design of control systems in state space. For control systems engineers.



The publisher, Prentice-Hall Engineering/Science/Mathematics
This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory -- and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout. --This text refers to an out of print or unavailable edition of this title.


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Multiobjective Optimisation & Control (Engineering Systems Modelling and Control Series)




ISBN: 0863802648
Author: G. P. Liu / Jian-Bo Yang / J. F. Whidborne
Publisher: Research Studies Press
Edition: 1st edition (June 15, 2002)
Hardcover: 300 pages
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0863802648
Summary:
In control systems design there are often a number of design objectives to be considered. The objectives are sometimes conflicting and no design exists which can be considered best with respect to all objectives. Hence, there is an inevitable trade-off between design objectives, for example, between certain performance objectives and stability robustness. These considerations have led to the study of multiobjective optimization methods for control systems.

This book discusses multiobjective control as part of the design process. The control system objectives are described by a set of performance indices. This type of control problem appears in flight control design, in the control space structures and in industrial process control. The concept of a generic multiobjective control problem which involves different types of performance indices is generating increasing research interest.

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Optimal Control: Linear Quadratic Methods (Prentice Hall Information and System Sciences Series)

Title: Optimal Control: Linear Quadratic Methods (Prentice Hall Information and System Sciences Series)
ISBN: 0136385605
Author: Brian D. O. Anderson / John B. Moore
Publisher: Prentice Hall
Edition: (January, 1990)
Pages: 380 pages
URL: http://www.amazon.com/exec/obidos/re...N%2F0136385605
Summary:
Dynamic Programming, Hamilton-Jacobi-Bellman Equation and Finite-Horizon Linear Systems.
Pontryagin Maximum Principle in Linear Quadratic Control.
Transfer Function Approach for Linear Time-Invariant Systems, Wiener-Kolmogorov Problem and Solution via Factorization.
Kalman Filtering and Least Square Approach, Wiener-Hopf Equation.
Linear Quadratic Gaussian Problem and Separation Principle.
Duality of Control and Filtering Problems.
Ricatti Equation Insight for Linear Quadratic Optimization.

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Robust Control System Design: Advanced State Space Techniques (Control Engineering, 16)



ISBN: 0824748697
Author: Chia-Chi Tsui
Publisher: Marcel Dekker
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0824748697
Summary:
Introduces a fundamentally new approach to state space control system design. Presents innovative approaches to feedback control design and details methods for failure detection and isolation. Compares and evaluates the performance of various feedback control designs. Offers a wide range of exercises for optimal system design, treatment of model uncertainty, and noise measurement.


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Self-Learning Control of Finite Markov Chains (Control Engineering (Marcel Dekker), 4.)





ISBN: 082479429X
Author: Alexander S. Poznyak / K. Najim / E. Gomez-Ramirez
Publisher: Marcel Dekker
Edition: (December, 1999)
Hardcover: 298 pages
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F082479429X
Summary:
Written for upper-level undergraduates, graduate students, and professionals in the engineering, mathematics, and statistics fields, this book presents the fundamental mathematical concepts of self-learning control of constrained and unconstrained finite Markov chains. MATLAB M-files that illustrate the concepts in the text, are presented in the appendix. These files require the Optimization Toolbox.


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Sliding Mode Control in Engineering (Control Engineering Series, 11)




ISBN: 0824706714
Author: .
Publisher: Marcel Dekker
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0824706714
Summary:
Book Info
Provides practical applications and useful examples for electrical motors, mechanical structures, robotics and manipulators, uncertain systems, power converters, and signal reconstruction