Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications. Key topics include loop-recovery techniques, frequency shaping, and controller reduction. Numerous examples and complete solutions.

Vol. 1. - 387 p.

Technician's Guide to the 68HC11 Microcontroller is ideal for readers with little or no prior programming experience who want to master the basics of troubleshooting and programming Motorola's 68HC11 microcontroller. Both hardware and software are covered in detail to provide a complete understanding of the principles underlying how a microcontroller works. Theory is supplemented by examples designed to illustrate how concepts may be applied. By learning how to program the 68HC11 at an elementary level, readers also gain valuable experience using manufacturer-specific documentation that prepares them for work with other more sophisticated microcontrollers.

Striking a careful balance between mathematical rigor and engineering-oriented applications, this textbook aims to maximize the readers' understanding of both the mathematical and engineering aspects of control theory. The bedrock elements of classical control theory are comprehensively covered: the Routh–Hurwitz theorem and applications, Nyquist diagrams, Bode plots, root locus plots, the design of controllers (phase-lag, phase-lead, lag-lead, and PID), and three further advanced topics: non-linear control, modern control and discrete-time control. A Mathematical Introduction to Control Theory will be an invaluable book for junior and senior level university students in engineering, particularly electrical engineering. Students with a good knowledge of algebra and complex variables will also find many interesting applications in this volume.

This well-respected, market-leading text discusses the use of digital computers in the real-time control of dynamic systems. The emphasis is on the design of digital controls that achieve good dynamic response and small errors while using signals that are sampled in time and quantized in amplitude. Both classical and modern control methods are described and applied to illustrative examples. The strengths and limitations of each method are explored to help the reader develop solid designs with the least effort. Two new chapters have been added to the third edition offering a review of feedback control systems and an overview of digital control systems. Updated to be fully compatible with MATLAB versions 4 and 5, the text thoroughly integrates MATLAB statements and problems to offer readers a complete design picture. The new edition contains up-to-date material on state-space design and twice as many end- of-chapter problems to give students more opportunities to practice the material.

Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: • The necessary mathematical preliminaries for readers from a process engineering background. • Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. • The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. • Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. • Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas.

The 99 examples in this book demonstrate what pneumatics can do by showing solutions in simplified form in a way that we hope will fire the imagination and encourage new ideas. This book is accordingly aimed at practical technical users, those responsible for rationalisation and also those who are taking their first steps in the world of pneumatics.

This book meets head-on the difficulty of making practical use of new systems theory, presenting a selection of varied applications together with relevant theory. It shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; experimental results; and a section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical.

This book presents a comprehensive treatment of the analysis and design of discrete-time control systems. It is written as a textbook for courses on discrete-time control systems or digital control systems for senior and first-year graduate level engineering students. The theoretical background materials for designing control systems are discussed in detail. Once the theoretical aspects are understood, the reader can use MATLAB with advantage to obtain numerical solutions that involve various types of vector-matrix operations. The new edition of this comprehensive digital controls book integrates MATLAB throughout the book. The book has also increased inflexibility and reader friendliness through the streamlining of coverage in Chapters 6 & 7 (controllability, pole placement and observability, and optimal control).

An introduction to automatic control systems and components that is both comprehensive and up-to-date. Logically organized, this book takes the reader on a journey through a control system. Each chapter examines a different functional part, followed by discussion of control units and control strategies that serves to put these parts together in a full-function control system.

To take full advantage of the potential of modern digital control systems, this text demonstrates how to design high-performance model-based controllers using techniques extensively tested in an industrial context. Implementation issues are considered and applications illustrate the effective use of the techniques proposed. Several recent methodological developments in control design and system identification: robust digital control design using sensitivity function shaping; plant identification in closed loop operation; and reduction of controller complexity are covered, as is state space representation. The text of Digital Control Systems is enhanced by the use of software illustrating the various concepts and algorithms and gives a feeling for the phenomena, discussed. Graduate students in digital control will find this text helpful in learning the essential techniques of computer-based control while the additional material will make the tutor’s tasks of teaching and preparation quicker and easier.

Integrates the traditional approach to differential equations with the modern systems and control theoretic approach to dynamic systems, emphasizing theoretical principles and classic models in a wide variety of areas. Provides a particularly comprehensive theoretical development that includes chapters on positive dynamic systems and optimal control theory. Contains numerous problems.

PLC are industrial microcontroller systems (in more recent times we meet processors instead of microcontrollers) where hardware and software are specifically adapted to industrial environment. The key to their success is the fact that you don't have to learn a new programming language to program them. How do they work exactly ? How to connect a simple sensor ? How to program in ladder diagram ? In this book you will find answers for this question and more...

The problem of control design for processes with dead time is similarly long-standing. Solutions to this often begin from a FOPDT or SOPDT model and many industrial PID control design methods try to accommodate the presence of dead time. The advent of the Smith Predictor (1958) provided the industrial control engineer with another tool to tackle the control of processes where the presence of dead time was impairing closed-loop performance.

This book contains refereed papers which were presented at the 34th Workshop of the International School of Mathematics "G. Stampacchia,” the International Workshop on Optimization and Control with Applications. The book contains 28 papers that are grouped according to four broad topics: duality and optimality conditions, optimization algorithms, optimal control, and variational inequality and equilibrium problems. The specific topics covered in the individual chapters include optimal control, unconstrained and constrained optimization, complementarity and variational inequalities, equilibrium problems, semi-definite programs, semi-infinite programs, matrix functions and equations, nonsmooth optimization, generalized convexity and generalized monotinicity, and their applications.

Do you want a low cost way to learn C programming for microcontrollers? This book shows you how to use Atmel’s $19.99 AVR Butterfly board and the FREE WinAVR C compiler to make a very inexpensive system for using C to develop microcontroller projects. Students will find the thorough coverage of C explained in the context of microcontrollers to be an invaluable learning aide. Professionals, even those who already know C, will find many useful tested software and hardware examples that will speed their development work. In addition to an in-depth coverage of C, the book has projects for: Port I/O reading switches and blinking LEDs UART communication with a PC Using interrupts, timers, and counters Pulse Width Modulation for LED brightness and motor speed control Creating a Real Time Clock Making music ADC: Analog to Digital Conversion DAC: Digital to Analog Conversion Voltage, light, and temperature measurement Making a slow Function Generator and Digital Oscilloscope LCD programming Writing a Finite State Machine.

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