A Unified Algebraic Approach To Control Design

Transient Stability of Power Systems is a monograph devoted to a hybrid-direct temporal method called SIME (for Single Machine Equivalent). SIME processes temporal information about the multimachine system dynamics to assess and control any type of transient instabilities under any type and model of power systems. Two approaches may be distinguished depending upon the source of information used: `Preventative SIME' which relies on a time-domain program to simulate anticipated contingencies, and `Emergency SIME' which uses real-time measurements. ...

Designed to provide engineers with quick access to current and practical information on the dynamics of structure and foundation, this unique work, consisting of two separately available volumes, serves as a complete reference, especially for those involved with earthquake or dynamic analysis, or the design of machine foundations in the oil, gas, and energy sector. This first volume deals with theories and formulations, covering the full range of topics involved with dynamics of structure and foundation. It specifically focuses on a unified approach in dealing with dynamic soil-structure interaction and geotechnical considerations for dynamic soil-structure interaction. The authors present new insights and theories

Algebraic Logic [addresses] some of the problems of mathematical logic and the theory of polyadic Boolean algebras, with which this volume is mostly concerned. It is intended to be an efficient way of treating algebraic logic in a unified manner. The material is accessible to a general mathematical audience; no vast knowledge of algebra or logic is required ... Except for a slight Boolean foundation, the volume is essentially self-contained....

Nonlinear and Adaptive Control Design for Induction Motors is a unified exposition of the most important steps and concerns in the design of estimation and control algorithms for induction motors. A single notation and modern nonlinear control terminology is used to make the book accessible to readers who are not experts in electric motors at the same time as giving a more theoretical control viewpoint to those who are. In order to increase readability, the book concentrates on the induction motor, eschewing the much more complex and less-well-understood control of asynchronous motors. The concepts of stability and nonlinear control theory are presented in appendices.

Unified Signal Theory is an indispensible textbook dealing with the theory of deterministic signals; a topic of fundamental interest to graduates and senior undergraduates in the areas of information engineering (telecommunications, control, systems theory and electronics), astronomy, oceanography, earth science, biology and medicine.The unified theory follows an innovative approach – that of combining all signal classes into just one. The fundamental signal operations (convolution, Fourier transform, linear systems, sampling and interpolation) are established simultaneously for all the signal classes. This unified approach avoids the repetition of similar concepts consequent on other approaches’ separate treatment of definitions and properties for each signal class. Modern wavelet ideas are developed in harmony with the rest of the text....

Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances.

With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and Parallel: A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus....

Pahlavan (wireless network studies, Worcester Polytechnic Institute) and Krishnamurthy (information science and telecommunications, University of Pittsburgh) provide a systems approach to building wireless networks. They articulate the underlying principles, commonalties, differences, and specific implementation issues associated with most of the common wireless systems. Particular attention is paid to the principles of air-interface design, the principles of wireless network operation, wireless wans, and local broadband and ad hoc networks. Detailed examples illustrate major points.
For upper level undergraduate Electrical Engineering, Computer Science, Telecommunications or Information Science courses that focus on wireless communications technology, as well as a reference for technicians and other professionals in the wireless industry.Takes a unified and comprehensive approach to introducing the full spectrum of engineering demands across all wireless networks and systems. The book uses examples specifically intended to illustrate the differences in implementing various systems, ranging from cellular voice telephony to wireless Internet access.

Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control

This book is based around the author's training courses and gives the reader a quick, focused tour through the Object Oriented Analysis and Design process. It introduces and explains the need-to-know concepts and key elements of both UML (Unified Modelling Language) and the Unified Process.

A unified approach is proposed for applied mechanics and optimal control theory. The Hamilton system methodology in analytical mechanics is used for eigenvalue problems, vibration theory, gyroscopic systems, structural mechanics, wave-guide, LQ control, Kalman filter, robust control etc. All aspects are described in the same unified methodology. Numerical methods for all these problems are provided and given in meta-language, which can be implemented easily on the computer