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Model-Based Control of Logistics Processes in Volatile Environments

decision model adaptation framework based on computational simulation experiments is reported in Part III and demonstrates the predominance of the;

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Evaluation Method of Energy Consumption in Logistic Warehouse Systems

This book focuses on guidelines for reducing the energy consumption in warehousing processes. It presents a model of formal assessment for;

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Autonomous Cooperation and Control in Logistics

of autonomous cooperation and control. This self-organisational concept describes ...processes of decentralized decision-making in heterarchical;

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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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Deterministic Learning Theory for Identification, Recognition, and Control

recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG;

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Deterministic Learning Theory for Identification, Recognition, and Control

dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation;

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Collaborative Logistics and Intermodality

-making parameters, global logistics management and its impact on container logistics processes, logistic market clusters and many more.;

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Model Predictive Control

Although industrial processes are inherently nonlinear, many contributions for controller design for those plants are based on the;

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Reliable, Secure and Resilient Logistics Networks

This book synthesizes the current state of knowledge on logistics infrastructures and process modeling, especially for processes that are;

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AI based Robot Safe Learning and Control

, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments;

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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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Multiagent Coordination Enabling Autonomous Logistics

simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous;

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Model Predictive Control

state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control;

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Optimizing Transport Logistics Processes with Multiagent Planning and Control

solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands;

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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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Dynamics in Logistics

and networks. Topics covered range from the modeling and planning of processes, to innovative methods like autonomous control and knowledge;

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Dynamics in Logistics

and networks. Topics covered range from the modeling and planning of processes, to innovative methods like autonomous control and knowledge;

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Advanced Control of Chemical Processes

industries. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several;

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Coordinating Supply Chain in Decenteralized Environments

transportation logistics at the operational level. Our method allows the optimization model to reconcile the viewpoints from transportation and;

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Dynamics in Logistics

integration of dynamics within the modeling, planning and control of logistic processes and networks has shown to contribute massively to the;

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Natural Headland Sand Bypassing

processes. In this study, it is shown that a process-based model can be used to simulate the processes of sand bypassing around groyne and headland;

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Natural Headland Sand Bypassing

processes. In this study, it is shown that a process-based model can be used to simulate the processes of sand bypassing around groyne and headland;

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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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New Models for Sustainable Logistics

This book introduces new inventory models to support decision-making when cost of externalities are jointly considered along with costs;

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Service Orientation in Holonic and Multi Agent Manufacturing

solutions addressing trends in service orientation of agent-based control technologies with distributed intelligence. The book is organized;

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Global Logistics Management

: An analysis for the airline industry and a novel approach for airline logistics including fare pricing and seat inventory control The berth;

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Global Logistics Management

: An analysis for the airline industry and a novel approach for airline logistics including fare pricing and seat inventory control The;

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