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Control Systems Functions and Programming Approaches: Applications by Dimitris N Chorafas

Control Systems Functions and Programming Approaches: Applications by Dimitris N Chorafas
Author:
Publisher: Academic Press
Total Pages: 299
Release: 1966-01-01
Genre: Mathematics
ISBN: 0080955347
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression. - Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering

Control Systems Functions and Programming Approaches by Dimitris N Chorafas

Control Systems Functions and Programming Approaches by Dimitris N Chorafas
Author:
Publisher: Academic Press
Total Pages: 423
Release: 1966-01-01
Genre: Mathematics
ISBN: 0080955339
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Download Control Systems Functions and Programming Approaches by Dimitris N Chorafas Book in PDF, ePub and Kindle

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression. - Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering

Robust Control Systems with Genetic Algorithms

Robust Control Systems with Genetic Algorithms
Author: Mo Jamshidi
Publisher: CRC Press
Total Pages: 232
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 1420058347
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In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Control Systems Functions and Programming Approaches

Control Systems Functions and Programming Approaches
Author: Dimitris N. Chorafas
Publisher: Elsevier Science & Technology
Total Pages: 428
Release: 1966
Genre: Automatic control
ISBN:
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V.1 - The dynamics of digital automation. Evaluating data control opportunities. The functions of a data system. Studying the general structure. Principles of systems analysis. Data collection and teletransmission; Data collection problems; Conversion methods; Dta carriers. Structural aspects of teletransmission. Numerical, logical, and stochastic processes. The use of numerical systems. Fundamentals of Boolean algebra. Classifications in information retrieval. Stochastic searching. Mathematics for systems control. Analysis, speculation, and evolution. The mathematical simulator. Evaluating mathematical programming. Establishing systems reliability. Programming for real-time duty. Considering programming approaches; In-memory operations; Real-time executive routines. Programming aids for process control. v.2 - Process - type cases and data control. Computer usage in the process industry. Applications with technical problems. The rationalization of management data. Applications in the field of accounting. Controlling a power production plant. Applications in the metal industry. Computer usage in the steel industry. Evaluating the data load. Production and inventory control at the forge metal works. Quality assurance as a real-time application. Guidance for discrete particles. Airline reservations systems. Guidance approaches to air traffic. Aircraft detection and in-flight tracking. Railroad, subway, and car traffic problems. Digital automation in banking.