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Intelligent control – control based on fuzzy logic and neural networks – has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots or increasing the profitability of mineral-processing or steel-rolling plants. Recent Advances in Intelligent Control Systems gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the successful application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of significant benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.

Intelligent control systems. --- Large scale systems. --- Neural networks (Computer science). --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Fuzzy systems. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Systems, Fuzzy --- Intelligent control --- Intelligent controllers --- Engineering. --- Artificial intelligence. --- Automotive engineering. --- Control engineering. --- Robotics. --- Mechatronics. --- Industrial engineering. --- Production engineering. --- Control. --- Automotive Engineering. --- Industrial and Production Engineering. --- Artificial Intelligence (incl. Robotics). --- Control, Robotics, Mechatronics. --- Artificial intelligence --- Natural computation --- Soft computing --- System analysis --- Fuzzy logic --- Automatic control --- Control and Systems Theory. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Construction --- Industrial arts --- Technology --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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Transport engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- mechatronica --- controleleer --- motorrijtuigen --- ingenieurswetenschappen --- robots

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This book focuses on safeguarding civil structures and residents from natural hazards such as earthquakes through the use of active control. It proposes novel proportional-derivative (PD) and proportional-integral-derivative (PID) controllers, as well as discrete-time sliding mode controllers (DSMCs) for the vibration control of structures involving nonlinearities. Fuzzy logic techniques are used to compensate for nonlinearities. The first part of the book addresses modelling and feedback control in inelastic structures and presents a design for PD/PID controllers. In the second part, classical PD/PID and type-2 fuzzy control techniques are combined to compensate for uncertainties in the structures of buildings. The methodology for tuning the gains of PD/PID is obtained using Lyapunov stability theory, and the system’s stability is verified. Lastly, the book puts forward a DSMC design that does not require system parameters, allowing it to be more flexibly applied. All program codes used in the paper are presented in a MATLAB®/Simulink® environment. Given its scope, the book will be of interest to mechanical and civil engineers, and to advanced undergraduate and graduate engineering students in the areas of structural engineering, structural vibration, and advanced control.

PID controllers. --- Proportional Integral-Derivative controllers --- Proportional-plus-Integral-plus-Derivative controllers --- Automatic control --- Building construction. --- Vibration. --- Dynamical systems. --- Dynamics. --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Building Physics, HVAC. --- Vibration, Dynamical Systems, Control. --- Building Construction and Design. --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Architecture --- Construction industry --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Cycles --- Sound --- Design and construction --- Strains and stresses. --- Design and construction. --- Stresses and strains --- Elastic solids --- Flexure --- Structural analysis (Engineering) --- Deformations (Mechanics) --- Elasticity --- Engineering design --- Graphic statics --- Strength of materials --- Stress waves

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This book presents a detailed discussion of intelligent techniques to measure the displacement of buildings when they are subjected to vibration. It shows how these techniques are used to control active devices that can reduce vibration 60–80% more effectively than widely used passive anti-seismic systems. After introducing various structural control devices and building-modeling and active structural control methods, the authors propose offset cancellation and high-pass filtering techniques to solve some common problems of building-displacement measurement using accelerometers. The most popular control algorithms in industrial settings, PD/PID controllers, are then analyzed and then combined with fuzzy compensation. The stability of this combination is proven with standard weight-training algorithms. These conditions provide explicit methods for selecting PD/PID controllers. Finally, fuzzy-logic and sliding-mode control are applied to the control of wind-induced vibration. The methods described are supported by reports of experimental studies on a two-story building prototype. This book is a valuable resource for academic researchers interested in the effects of control and mechatronic devices within buildings, or those studying the principles of vibration reduction. Practicing engineers working on the design and construction of any sort of high-rise or vulnerable building and concerned with the effects of either wind or seismic disturbances benefit from the efficacy of the methods proposed.

Mathematics --- Classical mechanics. Field theory --- Mechanical properties of solids --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Building design --- Building materials. Building technology --- Civil engineering. Building industry --- Architecture --- patroonherkenning --- neuronale netwerken --- procesautomatisering --- fuzzy logic --- cybernetica --- bouwkunde --- architectuur --- controleleer --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- bouw --- robots --- PID (proportioneel, integrerend en differentiërend) --- dynamica --- regeltechniek --- optica