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Tensor Product Model Transformation in Polytopic Model-Based Control

Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying;

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Holistic Business Model Transformation

design views is based on the higher-level operational control loop principle within the MITO model segments shown in Figure 1. Whereby the;

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Automotive Model Predictive Control

academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and;

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Model Predictive Control

-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights;

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Single Period Inventory Control and Pricing

The price-setting newsvendor model is used to address the single period joint pricing and inventory control problem. The objective is to;

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Model-based Nonlinear Control of Aeroengines

This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Systems Control Theory

The book provides an up-to-date overview of modern control methods based on system models. Linear transformation of state vector, solution;

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Tensor Computation for Data Analysis

, multilinear discriminate analysis, tensor subspace clustering, tensor-based deep learning, tensor graphical model and tensor sketch. The discussion;

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Model Predictive Control

and future challenges of model predictive control.;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Capacity Oriented Analysis and Design of Production Systems

product flow in the model are investigated, such as Base Stock Control, Workload Control, control by finite buffers and control by the Reorder;

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Modelling Optimization and Control of Biomedical Systems

; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based;

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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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Colored Model Based Testing for Software Product Lines

Colored Model Based Testing for Software Product Lines (CMBT-SWPL). CMBT-SWPL is a requirements-based approach for efficiently generating tests;

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Learning-Based Adaptive Control

active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Model-Driven and Software Product Line Engineering

Many approaches to creating Software Product Lines have emerged that are based on Model-Driven Engineering. This book introduces both;

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Model Based Fuzzy Control

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules;

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Simulation and Animation of Visual Languages based on Typed Algebraic Graph Transformation

process for visual behavioural models by providing a formal framework and tool support for simulation and animation based on typed algebraic graph;

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Underwater Vehicles Design and Applications

vehicle dynamics. The authors investigate the performances of different control schemes, from non-model-based to model-based and adaptive model;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Foundations of Elastoplasticity

operations, work-conjugacy and multiplicative decomposition of deformation gradient tensor. Then, the rigorous elastoplastic/viscoplastic models are;

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Model-Based Control Of Networked Systems

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents;

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