Preliminary Program subject to change
10B02 Nonlinear Control Design, Analysis and Applications
OverviewThe focus of this session is on recent advances in the design, analysis, selection and application of nonlinear control systems. It spans from theoretical studies addressing present challenges in nonlinear control to industrial real-time applications of nonlinear control. Topics of interest include, but are not limited to: controller design for constrained and/or hybrid nonlinear systems, nonlinear control system selection, nonlinear model reduction, model identification for nonlinear control, control-relevant nonlinearity analysis, real-time nonlinear control implementation, linear vs. nonlinear control, and simple novel nonlinear methods.
Primary SponsorSystems and Process Control (10b)

Chair

Masoud Soroush
Professor
Drexel University
Department of Chemical Engineering
32nd & Chestnut Streets
Philadelphia, PA 19104
Phone Number: 215-895-1710
Fax Number: 215-895-5837
Email: masoud.soroush@drexel.edu

CoChair

Robert S. Parker
Assistant Professor and Fulton C. Noss Faculty Fellow
University of Pittsburgh
Department of Chemical and Petroleum Engineering
1249 Benedum Hall
Pittsburgh, PA 15261
Phone Number: 412-624-7364
Fax Number: 412-624-9639
Email: rparker@pitt.edu
Nonlinear Controller Design Via Approximate Solution of Hamilton-Jacobi Equations
Costas Kravaris, Dimitra Mousavere and Antonis Pappas, Department of Chemical Engineering, University of Patras, 1 Karatheodori St., Patras, 26500, Greece
A Robust and Stabilizing Multi-Model Predictive Control Approach to Command the Operation of Distributed Process Systems
Míriam R. García1, Carlos Vilas1, Lino O. Santos2 and Antonio A. Alonso1, (1)Process Engineering, IIM-CSIC, Eduardo Cabello 6, Vigo, Spain, (2)Departamento de Engenharia Química, Universidade de Coimbra, Largo Marquês de Pombal, 3000, Coimbra, Portugal
Cell and Iterated Dynamic Programming - a Fast Optimizer for Nonlinear Model Predictive Control
Keyu Li and Sridhar Ungarala, Chemical and Biomedical Engineering, Cleveland State University, 2121 Euclid Avenue, SH 455, Cleveland, OH 44115
Large-Scale Adaptive Multivariable Controllers Eliminate Step Tests and Maximize Profit
Umesh Mathur, Techwrite Associates, 15915 Hidden Cove, Houston, TX 77079, Barry L. Burr, Bryan Research and Engineering, P. O. Box 4747, Bryan, TX 77805, Robert D. Rounding, BP America Production Company, 501 Westlake Park Blvd., Houston, TX 77253, Daniel R. Webb, Hobbs Fractionation Complex, Ineos, P. O. Box 810, Hobbs, NM 88241 and Victor L. Rice, APC / RTO, Plant Automation Services, Inc., Suite 600, 16055 Space Center Blvd., Houston, TX 77062
Design and Performance of an Explicit Parametric Controller for a Solid Oxide Fuel Cell (Sofc) System
Dimitrios I. Gerogiorgis, Center For Process Systems Engineering (C.P.S.E.), Imperial College of London, Roderic Hill Building, Prince Consort Road, Imperial College Southg Kensington Campus, London, SW7 2AZ, United Kingdom, Konstantinos Kouramas, Centre for Process Systems Engineering, Imperial College London, Roderic Hill Building, South Kensington Campus, London, SW7 2AZ, United Kingdom, Nikos Bozinis, Parametric Optimization Solutions (ParOS), 1 Hammersmith Grove, London, W6 0NB, United Kingdom and Efstratios N. Pistikopoulos, Chemical Engineering, Imperial College London, South Kensington campus, London, SW7 2AZ, United Kingdom
Controlling Weight-on-Bit near Its Optimum in Hydrocarbon Drilling Operations Using a Linear Model Predictive Control with State Estimation
Ankur Awasthi, Department of Chemical Engineering, University of Houston, Houston, TX 77204 and Michael Nikolaou, Chemical Engineering, University of Houston, 4800 Calhoun Road, Houston, TX 77204-4004

Computing and Systems Technology Division