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A. Pedro Aguiar
Also published under:A. P. Aguiar, António Pedro Aguiar, Antonio Pedro Aguiar
Affiliation
SYSTEC-ARISE Research Center for Systems and Technologies, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
Topic
Optimal Control,Optimal Control Problem,Control Problem,Optimization Problem,Coherent Control,Cost Function,Neural Network,Quantum State,Quantum System,System Dynamics,Deep Learning,Maximum Principle,Pontryagin Maximum Principle,Pure State,Angular Velocity,Density Matrix,Linear Velocity,Optimal Conditions,Quantum Information,Vector Field,Absolutely Continuous,Control Constraints,Convolutional Neural Network,Equation In Space,Extended Kalman Filter,Feedback Control,Indirect Method,Minimum Principle,Nuclear Magnetic Resonance,Objective Function,Open Quantum Systems,State Constraints,Three-level System,Tracking Error,Unmanned Aerial Vehicles,Adjoint Equations,Autonomous Vehicles,Boundary Value,Compact Support,Control Input,Control Signal,Control Strategy,Control Variables,Convergence Rate,Coordinate Frame,Data Privacy,Deep Learning Techniques,Differential Equations,Dynamical,Estimation Error,
Biography
A. Pedro Aguiar (S’96–M’04) received the Licenciatura, and M.S., and Ph.D. degrees in electrical and computer engineering from the Instituto Superior Técnico (IST), Technical University of Lisbon, Lisbon, Portugal, in 1994, 1998 and 2002, respectively.
Currently, he is an Associate Professor with the Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering, University of Porto (FEUP), Porto, Portugal. From 2002 to 2005, he was a Postdoctoral Researcher at the Center for Control, Dynamical-Systems, and Computation, University of California, Santa Barbara (UCSB). From 2005 to 2012, he was a Senior Researcher with the Institute for Systems and Robotics, IST (ISR/IST), and an Invited Assistant Professor with the Department of Electrical and Computer Engineering, IST. His research interests include modeling, control, navigation, and guidance of autonomous robotic vehicles, nonlinear control, switched and hybrid systems, tracking, path-following, performance limitations, nonlinear observers, the integration of machine vision with feedback control, networked control, and coordinated/cooperative control of multiple autonomous robotic vehicles.
Currently, he is an Associate Professor with the Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering, University of Porto (FEUP), Porto, Portugal. From 2002 to 2005, he was a Postdoctoral Researcher at the Center for Control, Dynamical-Systems, and Computation, University of California, Santa Barbara (UCSB). From 2005 to 2012, he was a Senior Researcher with the Institute for Systems and Robotics, IST (ISR/IST), and an Invited Assistant Professor with the Department of Electrical and Computer Engineering, IST. His research interests include modeling, control, navigation, and guidance of autonomous robotic vehicles, nonlinear control, switched and hybrid systems, tracking, path-following, performance limitations, nonlinear observers, the integration of machine vision with feedback control, networked control, and coordinated/cooperative control of multiple autonomous robotic vehicles.