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Overview: Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing control systems. It provides improved coverage of the characteristics of feedback control, root-locus analysis, frequency-response analysis, state space methods, digital control systems and advanced controls, including updated worked examples and problems. The design and analysis of control systems require tools to enable and speed up the process. There are a number of such computer-based computational tools that can be used. MATLAB and its MATLAB Control System Toolbox are the most popular tools, followed by Simulink Control Design. There is also LabVIEW which is a graphical tool and an alternative programming method to MATLAB. Other tools include SPICE-Based Simulation Software, SimPowerSystems, StateFlow, and Mathcad. With the advent of the Fourth Industrial Revolution (4IR) and extensive use of Artificial Intelligence (AI), there are new advanced methods of designing and analysing control systems. Most of these techniques are data-driven, and more specifically AI-based. To start with, concepts such as Data-Driven Modelling, Artificial Intelligence, Machine Learning, Deep Learning, Fuzzy Logic, and Artificial Neural Networks are introduced and discussed in detail.
Genre: Non-Fiction > Tech & Devices
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