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A. Pedro Aguiar
Researcher at University of Porto
Publications - 226
Citations - 3630
A. Pedro Aguiar is an academic researcher from University of Porto. The author has contributed to research in topics: Controllability & Computer science. The author has an hindex of 29, co-authored 211 publications receiving 2991 citations. Previous affiliations of A. Pedro Aguiar include University of California, Santa Barbara & University of Lisbon.
Papers
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Journal ArticleDOI
A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems
TL;DR: This paper addresses problems on the structural design of large-scale control systems by proposing an efficient and unified framework to select the minimum number of manipulated/measured variables to achieve structural controllability/observability of the system.
Journal ArticleDOI
Performance limitations in reference tracking and path following for nonlinear systems
TL;DR: It is shown that in reference tracking, the smallest achievable L"2 norm of the tracking error is equal to the least amount of control energy needed to stabilize the zero dynamics of the error system.
Proceedings ArticleDOI
Coordinated path-following control of multiple underactuated autonomous vehicles in the presence of communication failures
Reza Ghabcheloo,A. Pedro Aguiar,Antonio M. Pascoal,Carlos Silvestre,Isaac Kaminer,Joao P. Hespanha +5 more
TL;DR: For a general class of vehicles moving in either two or three-dimensional space, Lyapunov-based techniques and graph theory are brought together to yield a decentralized control structure where the dynamics of the cooperating vehicles and the constraints imposed by the topology of the inter-vehicle communications network are explicitly taken into account.
Journal ArticleDOI
Moving Path Following for Unmanned Aerial Vehicles With Applications to Single and Multiple Target Tracking Problems
TL;DR: A Lyapunov-based MPF control law and a path-generation algorithm are proposed together with convergence and performance metric results and an application is described for the problem of tracking single and multiple targets on the ground using an unmanned aerial vehicle (UAV) flying at constant altitude.
Proceedings ArticleDOI
Trajectory-tracking and path-following controllers for constrained underactuated vehicles using Model Predictive Control
TL;DR: This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained underactuated vehicles by allowing an arbitrarily small asymptotic tracking error and derives MPC laws where the size of the terminal set is only limited by theSize of the system constraints.