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Originally published in 1951 and the first English book on the subject, this textbook is aimed at both the specialist and non-specialist alike and provides a thorough and detailed introduction on the principles that underlie the action of automatic controls, servo-mechanisms and regulators. The early chapters provide a solid foundation to the theory of control and are in the most part descriptive, introducing fundamental terminology and explaining the principles, which underlie the operation of all control systems, whilst in the last three chapters more advanced techniques are used to give an account of the methods employed by control engineers. Modern contributions to the theory at the time are included and questions are set at the end of each chapter. Giving a 'historical summary of the main landmarks in the development of control theory', this book will be of value to anyone with an interest in the history of engineering.
"An Introduction to Mechanical Engineering Part 2 is the essential text for all second-year undergraduate students as well as those studying foundation degrees and HNDs. Written by an experienced team of lecturers at the internationally renowned University of Nottingham, the text provides thorough coverage of the following core engineering topics, fully updated for the second edition discussing Fluid dynamics, Thermodynamics, Solid mechanics, Control theory and techniques, Mechanical power, loads and transmissions and Structural vibration. As well as mechanical engineers, the text will be highly relevant to automotive, aeronautical or aerospace and general engineering students. All chapters include questions with Chapters 4 and 5 including enhanced, detailed solutions online as a bonus feature"--
Control Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing. The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing the process behavior, analysis of this model and design of a control to achieve the desired objectives. It is divided into three Parts. The first part of the text addresses modeling aspects through state space and input-output representations. The notion of the internal state of a system (for example mechanical, thermal or electrical), as well as its description using a finite number of variables, is also emphasized. The second part is devoted to the stability analysis of an equilibrium point. The authors present classical tools for stability analysis, such as linearization techniques and Lyapunov functions. Central to Control Theory are the notions of feedback and of closed-loop, and the third part of the textbook describes the linear control synthesis in a continuous and discrete-time framework and also in a probabilistic context. Quadratic optimization and Kalman filtering are presented, as well as the polynomial representation, a convenient approach to reject perturbations on the system without making the control law more complex. Throughout the text, different examples are developed, both in the chapters and in the exercises.
One of the first books to provide in-depth and systematic application of finite element methods to the field of stochastic structural dynamics The parallel developments of the Finite Element Methods in the 1950’s and the engineering applications of stochastic processes in the 1940’s provided a combined numerical analysis tool for the studies of dynamics of structures and structural systems under random loadings. In the open literature, there are books on statistical dynamics of structures and books on structural dynamics with chapters dealing with random response analysis. However, a systematic treatment of stochastic structural dynamics applying the finite element methods seems to be lacking. Aimed at advanced and specialist levels, the author presents and illustrates analytical and direct integration methods for analyzing the statistics of the response of structures to stochastic loads. The analysis methods are based on structural models represented via the Finite Element Method. In addition to linear problems the text also addresses nonlinear problems and non-stationary random excitation with systems having large spatially stochastic property variations.
Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.
The area of analysis and control of mechanical systems using differential geometry is flourishing. This book collects many results over the last decade and provides a comprehensive introduction to the area.
An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. Its explorations of recent developments in the field emphasize the relationship of new procedures to classical control theory, with a focus on single input and output systems that keeps concepts accessible to students with limited backgrounds. The text is geared toward a single-semester senior course or a graduate-level class for students of electrical engineering. The opening chapters constitute a basic treatment of feedback design. Topics include a detailed formulation of the control design program, the fundamental issue of performance/stability robustness tradeoff, and the graphical design technique of loopshaping. Subsequent chapters extend the discussion of the loopshaping technique and connect it with notions of optimality. Concluding chapters examine controller design via optimization, offering a mathematical approach that is useful for multivariable systems.