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This unique book provides a bridge between digital control theory and vehicle guidance and control practice. It presents practical techniques of digital redesign and direct discrete-time design suitable for a real-time implementation of controllers and guidance laws at multiple rates and with and computational techniques. The theory of digital control is given as theorems, lemmas, and propositions. The design of the digital guidance and control systems is illustrated by means of step-by-step procedures, algorithms, and case studies. The systems proposed are applied to realistic models of unmanned systems and missiles, and digital implementation.
These papers cover the recent advances in the field of control theory and are designed for electrical engineers in digital signal processing.
Praise for Previous Volumes"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."-IEEE GROUP CORRESPONDANCE"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."-CONTROL
"In-depth discussions of selected topics (such as Z transform, and pole placement when the control signal was a vector quantity) have been moved to optional Appendices. discusses in detail the theoretical background for designing control systems. offers a greatly expanded treatment of the pole placement design with minimum-order observer by means of state space approach (Ch. 6) and polynomial equations approach (Ch. 7). features a new chapter on the polynomial equations approach to the control systems design as an alternative to the design of control systems via pole placement with minimum-order observers. Includes the design of model matching control systems. emphasizes the usefulness of MATLAB for studying discrete-time control systems showing how to use MATLAB optimally to obtain numerical solutions that involve various types of vector-matrix operations, plotting response curves, and system design based on quadratic optimal control. presents many instructive examples and worked-out problems throughout the entire book."--
Sampling and data reconstruction processes. The Z-transform. The state variable technique. Stability of discrete data systems. Time-optimal control of discrete-time systems. Optimal design of discrete-data systems by performance index. Statistical design: wiener filter. Statistical design: kalman filter. Digital simulation. Problems.
These papers cover the recent advances in the field of control theory and are designed for electrical engineers in digital signal processing.
EMBEDDED DIGITAL CONTROL WITH MICROCONTROLLERS Explore a concise and practical introduction to implementation methods and the theory of digital control systems on microcontrollers Embedded Digital Control with Microcontrollers delivers expert instruction in digital control system implementation techniques on the widely used ARM Cortex-M microcontroller. The accomplished authors present the included information in three phases. First, they describe how to implement prototype digital control systems via the Python programming language in order to help the reader better understand theoretical digital control concepts. Second, the book offers readers direction on using the C programming language to implement digital control systems on actual microcontrollers. This will allow readers to solve real-life problems involving digital control, robotics, and mechatronics. Finally, readers will learn how to merge the theoretical and practical issues discussed in the book by implementing digital control systems in real-life applications. Throughout the book, the application of digital control systems using the Python programming language ensures the reader can apply the theory contained within. Readers will also benefit from the inclusion of: A thorough introduction to the hardware used in the book, including STM32 Nucleo Development Boards and motor drive expansion boards An exploration of the software used in the book, including Python, MicroPython, and Mbed Practical discussions of digital control basics, including discrete-time signals, discrete-time systems, linear and time-invariant systems, and constant coefficient difference equations An examination of how to represent a continuous-time system in digital form, including analog-to-digital conversion and digital-to-analog conversion Perfect for undergraduate students in electrical engineering, Embedded Digital Control with Microcontrollers will also earn a place in the libraries of professional engineers and hobbyists working on digital control and robotics systems seeking a one-stop reference for digital control systems on microcontrollers.
Sliding mode control is a simple and yet robust control technique, where the system states are made to confine to a selected subset. With the increasing use of computers and discrete-time samplers in controller implementation in the recent past, discrete-time systems and computer based control have become important topics. This monograph presents an output feedback sliding mode control philosophy which can be applied to almost all controllable and observable systems, while at the same time being simple enough as not to tax the computer too much. It is shown that the solution can be found in the synergy of the multirate output sampling concept and the concept of discrete-time sliding mode control.
Continuous-time control-system response characteristics. Linear systems and the sampling process. Discrete systems modeling. Discrete control analysis. Discrete transform analysis (approximations). Principles of signal conversion and measurement. Digital-control-system implementation. Random processes in digital control systems. Finite word lenght and compensator structure. Cascade compensation-digitization (DIG) technique. Cascade compensation - direct (DIR) technique. Feedback compensation. Discrete state-variable model. State-space design methods. Discrete quantitative feedback technique. Modern discrete control theory. Discrete optimal control. Discrete estimation and stochastic control. Fourier transform. Convolution. Pade approximation. Power series. Computer-Aided-Design (CAD) programs for control. Matrix manipulations. Signal flow graphs. w-Transformation characteristics. Number representations. Theory of probability. Discrete QFT design processes.
Praise for the Series:"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."--IEEE Group Correspondence"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."--Control