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Dissertation
Mimo system identification for H-infinity robust control.

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Dissertation
Mimo system identification for H-infinity robust control.

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Book
Profeet en praktijk : fragmenten uit de nalatenschap van Ton van den Boom
Authors: ---
Year: 1988 Publisher: 's-Hertogenbosch Katholieke Landelijke Vereniging voor Maatschappelijk Aktiveringswerk

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Book
A comparison of classical and modern controller design : a case study
Authors: --- ---
ISBN: 9061442443 Year: 1990 Publisher: Eindhoven Eindhoven university of technology. Faculty of electrical engineering

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Book
Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
Authors: --- --- ---
ISBN: 3319308882 3319308890 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book contributes to making urban rail transport fast, punctual and energy-efficient –significant factors in the importance of public transportation systems to economic, environmental and social requirements at both municipal and national levels. It proposes new methods for shortening passenger travel times and for reducing energy consumption, addressing two major topics: (1) train trajectory planning: the authors derive a nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given schedule; and (2) train scheduling: the authors develop a train scheduling model for urban rail systems and optimization approaches with which to balance total passenger travel time with energy efficiency and other costs to the operator. Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involves constraints such as varying speed restrictions and maximum traction/braking force. Signaling systems and their effects are also accounted for in the trajectory planning model. Origin–destination passenger demand is included in the model formulation for train scheduling. Iterative convex programming and efficient bi-level approaches are utilized in the solution of the train-scheduling problem. In addition, the splitting rates and route choices of passengers are also optimized from the system point of view. The problems and solutions described in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and logistics whether from an academic or practitioner background as well as providing a real application for anybody studying optimization theory and predictive control. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Street-railroads --- Planning. --- Electric street-railroads --- Interurban railroads --- Light rail --- Light rail transit --- LRT (Light rail transit) --- Railroads, Street --- Street car lines --- Street railways --- Streetcar lines --- Tramways --- Trolley car lines --- Local transit --- Railroads --- Urban transportation --- Electric railroads --- Railroads, Cable --- Traffic Engineering. --- Regional planning. --- Control and Systems Theory. --- Transportation Technology and Traffic Engineering. --- Landscape/Regional and Urban Planning. --- Transportation. --- Regional development --- Regional planning --- State planning --- Human settlements --- Land use --- Planning --- City planning --- Landscape protection --- Engineering, Traffic --- Road traffic --- Street traffic --- Traffic, City --- Traffic control --- Traffic regulation --- Urban traffic --- Highway engineering --- Transportation engineering --- Government policy --- Control engineering. --- Transportation engineering. --- Traffic engineering. --- Urban planning. --- Public transportation --- Transport --- Transportation --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Cities and towns --- Civic planning --- Land use, Urban --- Model cities --- Redevelopment, Urban --- Slum clearance --- Town planning --- Urban design --- Urban development --- Urban planning --- Art, Municipal --- Civic improvement --- Urban policy --- Urban renewal --- Civil engineering --- Engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Economic aspects --- Management


Digital
Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
Authors: --- --- ---
ISBN: 9783319308890 Year: 2016 Publisher: Cham Springer International Publishing

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This book contributes to making urban rail transport fast, punctual and energy-efficient –significant factors in the importance of public transportation systems to economic, environmental and social requirements at both municipal and national levels. It proposes new methods for shortening passenger travel times and for reducing energy consumption, addressing two major topics: (1) train trajectory planning: the authors derive a nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given schedule; and (2) train scheduling: the authors develop a train scheduling model for urban rail systems and optimization approaches with which to balance total passenger travel time with energy efficiency and other costs to the operator. Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involves constraints such as varying speed restrictions and maximum traction/braking force. Signaling systems and their effects are also accounted for in the trajectory planning model. Origin–destination passenger demand is included in the model formulation for train scheduling. Iterative convex programming and efficient bi-level approaches are utilized in the solution of the train-scheduling problem. In addition, the splitting rates and route choices of passengers are also optimized from the system point of view. The problems and solutions described in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and logistics whether from an academic or practitioner background as well as providing a real application for anybody studying optimization theory and predictive control. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

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