Systems and Control Theory Group (SCTG)

The ISR Systems and Control Theory Group conducts fundamental research in all aspects of mathematical analyses and design methodologies, including interdisciplinary research efforts, involving modern system-theoretic concepts. Current topics under investigation include: robust multivariable control synthesis, distributed and decentralized estimation and control systems, hybrid systems, adaptive control using multiple-model concepts and hierarchical systems. Recent interdisciplinary investigations relate to the modeling of the human immune system using hybrid system concepts and modeling of the human vision system using hierarchical estimation methodologies.

Objectives

The ISR Systems and Control Theory Group conducts fundamental research in all aspects of mathematical analyses and design methodologies, including interdisciplinary research efforts, involving modern system-theoretic concepts. Current topics under investigation include: robust multivariable control synthesis, distributed and decentralized estimation and control systems, hybrid systems, adaptive control using multiple-model concepts and hierarchical systems. Recent interdisciplinary investigations relate to the modeling of the human immune system using hybrid system concepts and modeling of the human vision system using hierarchical estimation methodologies.

Current Projects

Acronym Name Funding Dates

Closed Projects

Acronym Name Funding Dates
[1] D. Milutinovic, J. Carneiro, Michael Athans, Pedro Lima, Modeling Dynamics of Cell Population Molecule Expression Distribution, Journal of Non-Linear Analysis: Hybrid Systems and Applications, Elsevier, Vol. 1, Issue 1, pp. 81-94, 2007 - PDF
[2] Sajjad Fekri, Michael Athans, António Pascoal, Robust Multiple Model Adaptive Control (RMMAC): A Case Study, International Journal of Adaptive Control and Signal Processing, Vol. 21, pp. 1-30 , 2007 - PDF
[3] Sajjad Fekri, Michael Athans, António Pascoal, Issues, Progress and New Results in Robust Adaptive Control, International Journal of Adaptive Control and Signal Processing, Vol. 20, pp. 519-579, 2006 - PDF
[1] Paulo Rosa, Carlos Silvestre, J. S. Shamma, Michael Athans, Fault Detection and Isolation of an Aircraft Using Set-Valued Observers, Proc. of ACA 2010 - 18th IFAC Symposium on Automatic Control in Aerospace, Nara, Japan, 2010
[2] Vahid Hassani, Michael Athans, António Pascoal, Applying the RMMAC Methodology to an Unstable Plant, Proc. of the ICEE 2010 - the 18th Iranian Conference on Electrical Engineering, Isfahan, Iran, 2010
[3] Vahid Hassani, Multiple Model Adaptive Estimation and Model Identification using a Minimum Energy Criterion, Proc. of ACC 2009 American Control Conference, St. Louis, Missouri, 2009 - PDF
[4] Vahid Hassani, An Application of the RMMAC Methodology to an Unstable Plant, Proc. of MED 2009 - 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, 2009
[5] G. Balas, On the Synthesis of Robust Multiple-Model Adaptive Controllers (RMMAC) Using BMI/LPV Controllers, Proc. of ECC 2009 - 10th European Control Conference, Budapest, Hungary, 2009
[6] Vahid Hassani, António Pedro Aguiar, António Pascoal, Michael Athans, Further Results on Plant Parameter Identification using Continuous-Time Multiple-Model Adaptive Estimators, Proc. of CDC 2009 - 48th IEEE Conference on Decision and Control, Shanghai, China, 2009
[7] Paulo Rosa, Carlos Silvestre, J. Shamma, Michael Athans, Multiple-Model Adaptive Control with Set-Valued Observers, Proc. of CDC 2009 - 48th IEEE Conference on Decision and Control, Shanghai, China, 2009
[8] Paulo Rosa, J. Shamma, Carlos Silvestre, Michael Athans, Stability Overlay for Linear and Nonlinear Time-Varying Plants, Proc. of CDC 2009 - 48th IEEE Conference on Decision and Control, Shanghai, China, 2009
[9] Vahid Hassani, Identification and Convergence Analysis of a Class of Continuous-Time Multiple-Model Adaptive Estimators, Proc. of the 17th IFAC World Congress, Seoul, Korea, 2008
[10] Michael Athans, Convergence Properties of a Continuous-Time Multiple-Model Adaptive Estimator, Proc. of ECC2007 - European Control Conference, Kos, Greece, 2007
[11] Sajjad Fekri, Further Evaluation of the RMMAC Method with Time-varying Parameters, Proc. of MED 2007 - 15th Mediterranean Conference on Control and Automation, Athens, Greece, 2007 - PDF
[12] Sajjad Fekri, Evaluation of the RMMAC/XI Method with Time-Varying Parameters and Disturbance Statistics, Proc. of MED 2007 - 15th Mediterranean Conference on Control and Automation, Athens, Greece, 2007 - PDF
[13] José Vasconcelos, Michael Athans, Sajjad Fekri, Carlos Silvestre, Paulo Oliveira, Uncertainty vs Performance Tradeoffs in Robust Feedback Control: A MIMO Case Study, Proc. CDC2006 - 45th IEEE Conference on Decision and Control, San Diego, USA, 2006 - PDF
[14] Sajjad Fekri, Michael Athans, António Pascoal, RMMAC: A Novel Robust Adaptive Control Scheme – Part I: Architecture, Proc. 43rd IEEE Conference on Decision & Control, CDC04, Paradise Island, Bahamas, 2004
[15] Sajjad Fekri, Michael Athans, António Pascoal, RMMAC: A Novel Robust Adaptive Control Scheme – Part II: Performance Evaluation, Proc. 43rd IEEE Conference on Decision & Control, CDC04, Paradise Island, Bahamas, 2004
[16] Sajjad Fekri, Michael Athans, António Pascoal, A New Robust Adaptive Control Method Using Multiple-models, Proc. 12th Mediterranean Conference on Control and Automation, MED’04, Kusadasi, Turkey, 2004
[17] Sajjad Fekri, Michael Athans, António Pascoal, Identification of Mass-Spring-Dashpot Systems using Multiple-Model Adaptive Estimation (MMAE) Algorithms, Proc. MED2003 - 11th Mediterranean Conference on Control and Automation (MED´03), Rhodes, Greece, 2003
[18] Dejan Milutinovic, Jorge Carneiro, Michael Athans, Pedro Lima, A Hybrid Automata Modell of TCR Triggering Dynamics, Proc. of MED2003 - 11th IEEE Mediterranean Conference on Control and Automation, Rhodes, Greece, 2003 - PDF
[19] Dejan Milutinovic, Pedro Lima, Michael Athans, Biologically Inspired Stochastic Hybrid Control of Multi-Robot Systems, Proc. ICAR 2003 - 11th International Conference on Advanced Robotics, University of Coimbra, Portugal, 2003 - PDF
[20] Sajjad Fekri, Michael Athans, System estimation and identification based on multiple-model adaptive algorithms, ASME International Mechanical Engineering Congress & Exposition, New Orleans, Louisiana, 2002
[21] A. Sajjad, Michael Athans, António Pascoal, Estimation and Identification of Mass-Spring-Dashpot Systems Using Multiple-Model Adaptive Algorithms, 2002 ASME International Mechanical Engineering Congress, New Orleans, USA., 2002
[1] Sajjad Fekri, Michael Athans, António Pascoal, RMMAC: A New Robust Adpative Control Strategy, DSORL-ISR Technical Report, 2003
[2] Dejan Milutinovic, Michael Athans, Pedro Lima, Jorge Carneiro, Application of Nonlinear Estimation Theory in TCR Triggering Model Identification, Technical Report RT-401-02, Instituto de Sistemas e Robotica, 2002
Luís Magalhães