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A practical and accessible guide to understanding digital signal processing Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features: * Discrete-time signals and systems * Linear difference equations * Solutions by recursive algorithms * Convolution * Time and frequency domain analysis * Discrete Fourier series * Design of FIR and IIR filters * Practical methods for hardware implementation A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry. With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field.
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
Advanced System Modelling and Simulation with Block Diagram Languages explores and describes the use of block languages in dynamic modelling and simulation. The application of block diagrams to dynamic modelling is reviewed, not only in terms of known components and systems, but also in terms of the development of new systems. Methods by which block diagrams clarify the dynamic essence of systems and their components are emphasized throughout the book, and sufficient introductory material is included to elucidate the book's advanced material. Widely used continuous dynamic system simulation (CDSS) languages are analyzed, and their technical features are discussed. This self-contained resource includes a review section on block diagram algebra and applied transfer functions, both of which are important mathematical subjects, relevant to the understanding of continuous dynamic system simulation.
Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications Custom-made Matlab® functionality to facilitate the design and construction of self-tuning controllers for different processes and systems Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation
This book constitutes the refereed proceedings of the 6th International Symposium on Formal Techniques in Real-Time and Fault-Tolerant Systems, FTRTFT 2000, held in Pune, India in September 2000. The 21 revised full papers presented together with three invited contributions were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on model checking, fault tolerance, scheduling, validation, verification, logic and automata.
This book features selected papers from the 36th National Convention of Electrical Engineers and Conference on “Future Electricity Systems: Challenges and Current Trends” (NCEFES-2021) held in hybrid mode by Institution of Engineers Jodhpur Local Centre, Jodhpur, India, during 27-28 November, 2021. The book features original papers presented by graduate students, research scholars, academicians, and industry persons during this conference. The topics covered in the book include recent advances in Distributed generation and Power quality, Optimization techniques, Renewable energy/Alternative energy, Reliability of distributed energy systems, Smart microgrid, Advanced monitoring & novel control strategies, Real-time simulation & contingencies analysis, Ancillary services & metering, Economic benefits, Application of machine learning, Data acquisition, Internet of Things (IOT), Load forecasting, Future electricity systems, Integration of communication technology, Blockchain technology & its application in Energy systems, Cloud computing for energy, Cyber physical energy systems, Renewable energy grid integration, Smart protection techniques for electrical distribution network, Recent developments in electrical technology for sustainable smart cities and energy management.
Hybrid Simulation deals with a rapidly evolving technology combining computer simulation (typically finite element) and physical laboratory testing of two complementary substructures. It is a cost effective alternative to shaking table test, and allows for the improved understanding of complex coupled systems. Traditionally, numerical simulation and physical tests have been uncoupled and performed separately. In this simulation paradigm the coupled nature of the simulation allows for improved understanding, and more efficient design since the factor of safety does not have to be arbitrarily inflated to account for uncertainties of uncoupling. It is a multidisciplinary technology which relies heavily on control theory, computer science, numerical techniques and finds applications in aerospace, civil, and mechanical engineering.
Civil Avionics Systems, Second Edition, is an updated and in-depth practical guide to integrated avionic systems as applied to civil aircraft and this new edition has been expanded to include the latest developments in modern avionics. It describes avionic systems and potential developments in the field to help educate students and practitioners in the process of designing, building and operating modern aircraft in the contemporary aviation system. Integration is a predominant theme of this book, as aircraft systems are becoming more integrated and complex, but so is the economic, political and technical environment in which they operate. Key features: • Content is based on many years of practical industrial experience by the authors on a range of civil and military projects • Generates an understanding of the integration and interconnectedness of systems in modern complex aircraft • Updated contents in the light of latest applications • Substantial new material has been included in the areas of avionics technology, software and system safety The authors are all recognised experts in the field and between them have over 140 years’ experience in the aircraft industry. Their direct and accessible style ensures that Civil Avionics Systems, Second Edition is a must-have guide to integrated avionic systems in modern aircraft for those in the aerospace industry and academia.
The vast majority of control systems built today are embedded; that is, they rely on built-in, special-purpose digital computers to close their feedback loops. Embedded systems are common in aircraft, factories, chemical processing plants, and even in cars–a single high-end automobile may contain over eighty different computers. The design of embedded controllers and of the intricate, automated communication networks that support them raises many new questions—practical, as well as theoretical—about network protocols, compatibility of operating systems, and ways to maximize the effectiveness of the embedded hardware. This handbook, the first of its kind, provides engineers, computer scientists, mathematicians, and students a broad, comprehensive source of information and technology to address many questions and aspects of embedded and networked control. Separated into six main sections—Fundamentals, Hardware, Software, Theory, Networking, and Applications—this work unifies into a single reference many scattered articles, websites, and specification sheets. Also included are case studies, experiments, and examples that give a multifaceted view of the subject, encompassing computation and communication considerations.