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Linear Parameter-varying System Identification

models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization;

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Identification of Power Plant Processes - Theory and Application

methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a theoretical background;

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Submodularity in Dynamics and Control of Networked Systems

selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability;

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Control, Identification, and Input Optimization

current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been;

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Advanced and Optimization Based Sliding Mode Control

particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new;

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Thermal Power Plants

identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence;

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Thermal Power Plants

identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence;

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Modern Control Engineering

recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability;

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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

performance optimization of feedback control systems. For their data-driven implementation in deterministic and stochastic systems, the author;

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Proceedings of the ASME 2013 Dynamics Systems and Control Conference-(DSCC2013)

: Nonlinear Control Nonlinear Estimation and Control Optimization and Optimal Control Piezoelectric Actuation and Nanoscale Control Robotic;

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Constrained Optimization and Optimal Control for Partial Differential Equations

of optimization, control and identification for problems in infinite-dimensional spaces, shape and topology problems, model reduction and adaptivity;

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Intelligent Network Management and Control- Intel Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles,Intelligent Radio

The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages;

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Low Rank Approximation

approximation;* missing data estimation;* data-driven filtering and control;* stochastic model representation and identification;* identification;

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Model-Based Control

Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and;

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Advanced Practical Process Control

An application-oriented approach to process control. The reference text systematically explains process identification, control and;

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Application Of Dimensional Analysis In Systems Modeling And

control theory and problems such as identification and model reduction, robust control, adaptive control, and PID control;

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Identification and Control of Mechanical Systems

book discusses the control of vibrating systems, integrating structural dynamics, vibration analysis, modern control and system identification;

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Identification and Control of Mechanical Systems

book discusses the control of vibrating systems, integrating structural dynamics, vibration analysis, modern control and system identification;

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Metaheuristic Optimization for the Design of Automatic Control Laws

problem of system identification. The third and fourth chapters are the core of the book where the design and optimization of control law, using;

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From Plant Data to Process Control

Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process;

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Decentralized Control of Complex Systems

Complex systems require fast control action in response to local input, and perturbations dictate the use of decentralized information and;

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Gain Scheduling Pitch Control for Fatigue Load Reduction for Wind Turbines.

) criteria; (3) Nonlinear LPV (Linear Parameter Variant) control design based on convex optimization. Controller input signals in all cases are rotor;

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Process Identification and PID Control

Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process;

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Identification Modeling and Characteristics of Miniature Rotorcraft

application of the advanced control system optimization tool CONDUITa to systematically and efficiently tune control laws for a model-scale UAV;

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Optimization in Engineering Sciences

and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular;

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Optimization and Control Methods in Industrial Engineering and Construction

This book presents recent advances in optimization and control methods with applications to industrial engineering and construction;

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Identification Of Time-Varying Processes

, estimation bandwidth and numerical stability of different identification algorithms and optimization of adaptive filters. Presentation of selected;

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