Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common the...

Renowned economist and author of Big Business Tyler Cowen brings a groundbreaking analysis of capitalism, the job market, and the growing gap between the one percent and minimum wage workers in this follow-up to the New York Times bestseller The Great Stagnation.The United States continues to mint more millionaires and billionaires than any country ever. Yet, since the great recession, three quarters of the jobs created here pay only marg...

Turning good ideas into marketable software quickly is now a business imperative for every enterprise. Delivering software features faster and with high quality is the first critical step. The subsequent step is to rapidly collect feedback from users to guide the next set of ideas for further improvements. Critical software development objectives such as these set the stage for The IT Manager’s Guide to Continuous Delivery: Delivering Software in Days, Instead of Months. The book champions...

Is Artificial Intelligence qualitatively different from other means of economizing the use of labor? Are we on the edge of a jobless society? If yes, are we ready for it? These are a few of the questions discussed in this collection of academic works. This book traces a brief history of the concept of technological unemployment; proposes a short-term scenario analysis concerning the relations between automation, education, and unemployment; analyzes the most recent literature on social rob...

This book is an exciting journey of discovery through next-generation robotics where we encounter co-worker robots, autonomous vehicles, humanoid robots, civil and military drones, robo-surgeons and other wonders that are no longer science fiction but very much part of the real world.Robotics will become a key factor in the development of the global economy over the coming years and it will lead to a radical change in how millions of people live and work – as was the case with the ...

Experience can mould control engineering knowledge into a formidable design skill to produce practical controllers for industrial applications. This book deals with a hands-on project that aims to control the altitude of a simulated helicopter that is to hover a fixed distance above the deck of a ship, even when it is heaving in an ocean swell. Though relatively simple, the project contains many features of large industrial applications such as dealing with incomplete specifications, acqui...

Navigation in Space by X-ray Pulsars will consist of two parts. One is on modeling of X-ray pulsar signals. The second part explains how X-ray pulsar signals can be used to solve the relative navigation problem. This book formulates the problem, proposes a recursive solution, and analyzes different aspects of the navigation system. This book will be a comprehensive source for researchers. It provides new research results on signal processing techniques needed for X-ray pulsar based navigat...

This book introduces non-identifier-based adaptive control (with and without internal model) and its application to the current, speed and position control of mechatronic systems such as electrical synchronous machines, wind turbine systems, industrial servo systems, and rigid-link, revolute-joint robots.In mechatronics, there is often only rough knowledge of the system. Due to parameter uncertainties, nonlinearities and unknown disturbances, model-based control strategies can reac...

The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the...

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. Much of the text is devoted to describing the applications of the theory including: system and control theory; signal processing; computer algebra for approximate factorization and common divisor computation; co...

Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, a...