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A multiobjective optimization approach to smart growth in land development

Socio-Economic Planning Sciences 2006年第3期40卷 212-248页

作者： Gabriel, Steven A. Faria, José A. Moglen, Glenn E. Department of Civil and Environmental Engineering University of Maryland College Park MD 20742 United States Applied Mathematics and Scientific Computation Program University of Maryland College Park MD 20742 United States

In this paper we apply a multiobjective optimization model of Smart Growth to land development. The term Smart Growth is meant to describe development strategies-that do not promote urban sprawl. However, the term is somewhat open to interpretation. The multiobjective aspects arise when considering the conflicting interests of the various stakeholders involved in land development decisions: the government planner, the environmentalist, the conservationist, and the land developer. We present a formulation-employing linear and convex quadratic objective functions subject to polyhedral and binary constraints for the stakeholders. The resulting optimization problems are convex, quadratic mixed integer programs that are NP-complete. We report numerical results with this model for Montgomery County, Maryland, and present them using a geographic information system (GIS). © 2005 Elsevier Ltd. All rights reserved.

关键词： Geographic Information System Integer programming Land use planning Large Scale Optimization Multiple objective programming Quadratic programming Smart Growth

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Online traffic light control through gradient estimation using stochastic fluid models

Online traffic light control through gradient estimation usi...

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作者： Panayiotou, Christos G. Howell, William C. Fu, Michael Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Applied Mathematics Scientific Computation Program Department of Mathematics University of Maryland College Park MD 20742 United States Smith School of Business and Institute for Systems Research University of Maryland College Park MD 20742 United States

ISBN: (纸本)008045108X

in this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the queue lengths with respect to the green/red light lengths within a signal cycle. We report preliminary numerical results comparing the performance of the estimates with finite-difference and smoothed perturbation analysis estimates. Then all estimators are used to optimize the traffic system via Stochastic Approximation. Copyright © 2005 IFAC.

关键词： Stochastic systems

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Real-time optimizing control of a class of crude oil blending operations

Real-time optimizing control of a class of crude oil blendin...

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作者： Morales-Diaz, A. Rodriguez-Angeles, A. Blanco, A.M. Sanchez, A. Mexican Petroleum Institute Program of Applied Mathematics and Computation Eje Central Lazaro Cardenas 152 Mexico D.F. 07730 Mexico Universidad Nacional del Sur Argentina Dept. of Elec. Eng. and Computing Cinvestav Apdo. Postal 31-438 Guadalajara 45091 Jalisco Mexico

ISBN: (纸本)008045108X

A real-time optimizing (RTO) controller for the blending of crude oil is presented. The RTO controller uses a non-linear "bias-update" technique and measurements of crude component properties to provide optimal blend flows. Two typical operating scenarios are considered for the blending of two inputs. The objective of the first scenario is to keep a constant flow of blended crude with a minimum production cost. The second case considers maximizing the amount of the heavier crude input while maintaining constant the flow rate of the lighter crude input. Simulation results are compared with historic data of a real blending process, showing the convergence properties and efficiency of the RTO controller. Copyright © 2005 IFAC.

关键词： Blending

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ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING STOCHASTIC FLUID MODELS

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IFAC Proceedings Volumes 2005年第1期38卷 90-95页

作者： Christos G. Panayiotou William C. Howell Michael Fu Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Department of Mathematics Applied Mathematics Scientific Computation Program University of Maryland College Park MD 20742 USA Smith School of Business and Institute for Systems Research University of Maryland College Park MD 20742 USA

In this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the queue lengths with respect to the green/red light lengths within a signal cycle. We report preliminary numerical results comparing the performance of the estimates with finite-difference and smoothed perturbation analysis estimates. Then all estimators are used to optimize the traffic system via Stochastic Approximation.

关键词： Traffic control perturbation analysis stochastic approximation

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REAL-TIME OPTIMIZING CONTROL OF A CLASS OF CRUDE OIL BLENDING OPERATIONS

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IFAC Proceedings Volumes 2005年第1期38卷 201-206页

作者： A. Morales-Diaz A. Rodriguez-Angeles A.M. Blanco A. Sanchez Mexican Petroleum Institute Program of Applied Mathematics and Computation Eje Central Lazaro Cardenas 152 Mexico D.F. 07730 Mexico PLAPIQUI (UNS-CONICET) Universidad Nacional del Sur Argentina Dept. of Elec. Eng. and Computing Cinvestav Apdo. Postal 31-438 Guadalajara 45091 Jalisco Mexico

A real-time optimizing (RTO) controller for the blending of crude oil is presented. The RTO controller uses a non-linear “bias-update” technique and measurements of crude component properties to provide optimal blend flows. Two typical operating scenarios are considered for the blending of two inputs. The objective of the first scenario is to keep a constant flow of blended crude with a minimum production cost. The second case considers maximizing the amount of the heavier crude input while maintaining constant the flow rate of the lighter crude input. Simulation results are compared with historic data of a real blending process, showing the convergence properties and efficiency of the RTO controller.

关键词： Real time optimization blending control crude oil

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Control synchronization of differential mobile robots 6

Control synchronization of differential mobile robots

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6th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2004

作者： Nijmeijer, Henk Rodriguez-Angeles, Alejandro Eindhoven University of Technology Department of Mechanical Engineering P.O. Box 513 Eindhoven5600 MB Netherlands Mexican Petroleum Institute Program of Applied Mathematics and Computation Eje Central Lazaro Cardenas 152 Mexico D.F.07730 Mexico

In this paper a synchronization controller for differential mobile robots is proposed. The synchronization goal is to control the angular position of each wheel to a desired trajectory and at the same time the differential (or synchronization) error between the angular position of the two wheels. In this way it is ensured that the mobile robot follows the desired path trajectory with the proper orientation. The controller is based on a computed torque architecture and a set of observers to estimate the angular velocity of the wheels. So that the controller only requires angular position measurements of the wheels. Copyright © 2004 IFAC.

关键词： Synchronization

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Control synchronization of differential mobile robots

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IFAC Proceedings Volumes 2004年第13期37卷 435-440页

作者： Henk Nijmeijer Alejandro Rodriguez-Angeles Eindhoven University of Technology Department of Mechanical Engineering Tel. +31 40 247 3203 P.O. Box 513 5600 MB Eindhoven The Netherlands Mexican Petroleum Institute Program of Applied Mathematics and Computation Eje Central Lazaro Cardenas 152 Tel.: ++52 55 9175 7235 Mexico D.F. 07730 Mexico

关键词： Synchronization observers feedback control mobile robots

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Master-slave robot position coordination based on estimated variables

Master-slave robot position coordination based on estimated ...

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2003 European Control Conference, ECC 2003

作者： Nijmeijer, H. Rodriguez-Angeles, A. Eindhoven University of Technology Department of Mechanical Engineering P.O. Box 513 MB Eindhoven5600 Netherlands Mexican Petroleum Institute Program of Applied Mathematics and Computation Eje Central Lazaro Cardenas 152 Mexico D.F.07730 Mexico

ISBN: (纸本)9783952417379

In this paper we present a controller that solves the problem of position coordination of two (or more) robotic systems, under a master-slave scheme, in the case when only position measurements are available. The controller consists of a feedback control law and two nonlinear observers. It is shown that the controller yields semi-global ultimate uniformly boundedness of the closed loop errors and a relation between the bound of the errors and the gains on the controller is established. Experimental results show, despite obvious model uncertainties, a good agreement with the predicted convergence. © 2003 EUCA.

关键词： State feedback

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Cooperative synchronization of robots via estimated state feedback

Cooperative synchronization of robots via estimated state fe...

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IEEE Conference on Decision and Control

作者： A. Rodriguez-Angeles H. Nijmeijer Program of Applied Mathematics and Computation Mexican Petroleum Institute Mexicali Mexico Department of Mechanical Engineering Eindhovan University of Technology Eindhoven Netherlands

A controller that solves the problem of position synchronization of two (or more) robot systems, under a cooperative scheme, in the case when only position measurements are available, is presented. The synchronization controller consists of a feedback control law and a set of nonlinear observers. It is shown that the controller yields semi-global exponential convergence of the synchronization closed loop errors. Experimental results show, despite obvious model uncertainties, a good agreement with the predicted convergence.

关键词： Robots State estimation State feedback Convergence Control systems Position measurement Feedback control Observers Error correction Predictive models

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Master-slave robot position coordination based on estimated variables

Master-slave robot position coordination based on estimated ...

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European Control Conference (ECC)

作者： H. Nijmeijer A. Rodriguez-Angeles Department of Mechanical Engineering Eindhoven University of Technology Eindhoven MB The Netherlands Program of Applied Mathematics and Computation Mexican Petroleum Institute Mexico D.F. Mexico

关键词： Robot kinematics Joints Trajectory Master-slave Observers Manipulators

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