activity
20122023
most citedControl Barrier Function based Quadratic Programs Introduce Undesirable Asymptotically Stable Equilibria

103 citations · 131 across the 18 of their papers we have counts for

collaborators

26 papers

math.OC2023★ 3 cited

Optimal control of distributed ensembles with application to Bloch equations

Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1

Motivated by the problem of designing robust composite pulses for Bloch equations in the presence of natural perturbations, we study an abstract optimal ensemble control problem in…

quant-ph2022★ 1 cited

A Quantum Optimal Control Problem with State Constrained Preserving Coherence

Nahid Binandeh Dehaghani, Fernando Lobo Pereira

In this work, we address the problem of maximizing fidelity in a quantum state transformation process controlled in such a way as to keep decoherence within given bounds. We consid…

math.OC2021★ 2 cited

Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation

Guilherme Ramos, A. Pedro Aguiar, Soummya Kar +1

Average consensus protocols emerge with a central role in distributed systems and decision-making such as distributed information fusion, distributed optimization, distributed esti…

math.OC2021

A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs

Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar +1

In this paper, we introduce a fast row-stochastic decentralized algorithm, referred to as FRSD, to solve consensus optimization problems over directed communication graphs. The pro…

math.OC2021

Minimum jointly structural input and output selection for strongly connected networks

Guilherme Ramos, A. Pedro Aguiar, Sérgio Pequito

In this paper, given a linear time-invariant strongly connected network, we study the problem of determining the minimum number of state variables that need to be simultaneously ac…

math.OC2021

Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation

Sarthak Chatterjee, Andrea Alessandretti, A. Pedro Aguiar +1

Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatia…

math.OC2020★ 14 cited

Structural Systems Theory: an overview of the last 15 years

Guilherme Ramos, A. Pedro Aguiar, Sergio Pequito

In this paper, we provide an overview of the research conducted in the context of structural systems since the latest survey by Dion et al. in 2003. We systematically consider all…

eess.SY2020

Three Dimensional Moving Path Following Control for Robotic Vehicles with Minimum Positive Forward Speed

R. Praveen Jain, Joao Borges de Sousa, A. Pedro Aguiar

This paper addresses the problem of steering a robotic vehicle along a geometric path specified with respect to a reference frame moving in three dimensions, termed the Moving Path…

eess.SY2020★ 103 cited

Control Barrier Function based Quadratic Programs Introduce Undesirable Asymptotically Stable Equilibria

Matheus F. Reis, A. Pedro Aguiar, Paulo Tabuada

Control Lyapunov functions (CLFs) and control barrier functions (CBFs) have been used to develop provably safe controllers by means of quadratic programs (QPs), guaranteeing safety…

cs.RO2020

Active Depth Estimation: Stability Analysis and its Applications

Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas +1

Recovering the 3D structure of the surrounding environment is an essential task in any vision-controlled Structure-from-Motion (SfM) scheme. This paper focuses on the theoretical p…

cs.RO2019

A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision

Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas +1

The 3D depth estimation and relative pose estimation problem within a decentralized architecture is a challenging problem that arises in missions that require coordination among mu…

eess.SY2019

An optimization-based cooperative path-following framework for multiple robotic vehicles

Andrea Alessandretti, A. Pedro Aguiar

This paper addresses the design of an optimization-based cooperative path-following control law for multiple robotic vehicles that optimally balances the transient trade-off betwee…

math.OC2019

Finite-dimensional control of linear discrete-time fractional-order systems

Andrea Alessandretti, Sergio Pequito, George J. Pappas +1

This paper addresses the design of finite-dimensional feedback control laws for linear discrete-time fractional-order systems with additive state disturbance. A set of sufficient c…

cs.RO2018

Low-level Active Visual Navigation: Increasing robustness of vision-based localization using potential fields

Romulo T. Rodrigues, Meysam Basiri, A. Pedro Aguiar +1

This paper proposes a low-level visual navigation algorithm to improve visual localization of a mobile robot. The algorithm, based on artificial potential fields, associates each f…

cs.RO2017

Feature Based Potential Field for Low-level Active Visual Navigation

Rômulo T. Rodrigues, Meysam Basiri, A. Pedro Aguiar +1

This paper proposes a novel solution for improving visual localization in an active fashion. The solution, based on artificial potential field, associates each feature in the curre…

math.OC2017

Selective Strong Structural Minimum Cost Resilient Co-Design for Regular Descriptor Linear Systems

Nipun Popli, Sergio Pequito, Soummya Kar +2

This paper addresses the problem of minimum cost resilient actuation-sensing-communication co-design for regular descriptor systems while ensuring selective strong structural syste…

cs.MA2017★ 1 cited

Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints

Stephen Kruzick, Sérgio Pequito, Soummya Kar +2

In many problems, agents cooperate locally so that a leader or fusion center can infer the state of every agent from probing the state of only a small number of agents. Versions of…

math.OC2016★ 1 cited

Optimal Rendezvous Trajectory for Unmanned Aerial-Ground Vehicles

Alessandro Rucco, PB Sujit, Pedro Aguiar +2

Fixed-wind unmanned aerial vehicles (UAVs) are essential for low cost aerial surveillance and mapping applications in remote regions. One of the main limitations of UAVs is limited…

math.OC2015

Static Output Feedback: On Essential Feasible Information Patterns

J. Frederico Carvalho, Sergio Pequito, A. Pedro Aguiar +2

In this paper, for linear time-invariant plants, where a collection of possible inputs and outputs are known a priori, we address the problem of determining the communication betwe…

math.OC2015★ 5 cited

Minimum Sensor Placement for Robust Observability of Structured Complex Networks

Xiaofei Liu, Sergio Pequito, Soummya Kar +2

This paper addresses problems on the robust structural design of complex networks. More precisely, we address the problem of deploying the minimum number of dedicated sensors, i.e.…

math.OC2015

Distributed Verification of Structural Controllability for Linear Time-Invariant Systems

Joao Carvalho, Sergio Pequito, A. Pedro Aguiar +2

Motivated by the development and deployment of large-scale dynamical systems, often composed of geographically distributed smaller subsystems, we address the problem of verifying t…

math.OC2014★ 1 cited

Minimum Cost Input/Output Design for Large Scale Linear Structural Systems

Sergio Pequito, A. Pedro Aguiar, Soummya Kar

In this paper, we provide optimal solutions to two different (but related) input/output design problems involving large-scale linear dynamical systems, where the cost associated to…

math.OC2014

On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems

Sergio Pequito, Soummya Kar, A. Pedro Aguiar

This paper studies the problem of, given the structure of a linear-time invariant system and a set of possible inputs, finding the smallest subset of input vectors that ensures sys…

math.OC2014

The Robust Minimal Controllability Problem

Sergio Pequito, Guilherme Ramos, Soummya Kar +2

In this paper, we address two minimal controllability problems, where the goal is to determine a minimal subset of state variables in a linear time-invariant system to be actuated…