19 citations · 31 across the 15 of their papers we have counts for
19 papers
Dynamic Event-Triggered Control of Discrete-Time Nonlinear Systems based on Difference-Algebraic Representations
Vitoriano Casas, Gabriela Reis, Pedro Henrique Coutinho +2
This paper addresses the dynamic event-triggered control for a class of discrete-time nonlinear systems described by a difference-algebraic representation (DAR), using a gain-sched…
Unit-Vector Control Design under Saturating Actuators
Andevaldo da Encarnação Vitório, Pedro Henrique Silva Coutinho, Iury Bessa +2
This paper deals with unit vector control design for multivariable polytopic uncertain systems under saturating actuators. For that purpose, we propose LMI-based conditions to desi…
A Systematic LMI Approach to Design Multivariable Sliding Mode Controllers
Pedro Henrique Silva Coutinho, Iury Bessa, Victor Hugo Pereira Rodrigues +1
This paper deals with sliding mode control for multivariable polytopic uncertain systems. We provide systematic procedures to design variable structure controllers (VSCs) and unit-…
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction
Edoardo Manino, Iury Bessa, Lucas Cordeiro
Neural networks are a powerful class of non-linear functions. However, their black-box nature makes it difficult to explain their behaviour and certify their safety. Abstraction te…
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
João Batista P. Matos, Iury Bessa, Edoardo Manino +2
Neural networks are essential components of learning-based software systems. However, their high compute, memory, and power requirements make using them in low resources domains ch…
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking
Xidan Song, Edoardo Manino, Luiz Sena +5
QNNVerifier is the first open-source tool for verifying implementations of neural networks that takes into account the finite word-length (i.e. quantization) of their operands. The…
Verifying Quantized Neural Networks using SMT-Based Model Checking
Luiz Sena, Xidan Song, Erickson Alves +4
Artificial Neural Networks (ANNs) are being deployed for an increasing number of safety-critical applications, including autonomous cars and medical diagnosis. However, concerns ab…
Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics
Murilo Osorio Camargos, Iury Bessa, Luiz A. Q. Cordovil Junior +3
This paper addresses the use of data-driven evolving techniques applied to fault prognostics. In such problems, accurate predictions of multiple steps ahead are essential for the R…
Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model
Daniel Leite, Pedro Coutinho, Iury Bessa +3
We present a method for incremental modeling and time-varying control of unknown nonlinear systems. The method combines elements of evolving intelligence, granular machine learning…
Incremental Verification of Fixed-Point Implementations of Neural Networks
Luiz Sena, Erickson Alves, Iury Bessa +2
Implementations of artificial neural networks (ANNs) might lead to failures, which are hardly predicted in the design phase since ANNs are highly parallel and their parameters are…
Incremental Bounded Model Checking of Artificial Neural Networks in CUDA
Luiz H. Sena, Iury V. Bessa, Mikhail R. Gadelha +2
Artificial Neural networks (ANNs) are powerful computing systems employed for various applications due to their versatility to generalize and to respond to unexpected inputs/patter…
Counterexample Guided Inductive Optimization Applied to Mobile Robots Path Planning (Extended Version)
Rodrigo F. Araújo, Alexandre Ribeiro, Iury V. Bessa +2
We describe and evaluate a novel optimization-based off-line path planning algorithm for mobile robots based on the Counterexample-Guided Inductive Optimization (CEGIO) technique.…
Verification of Magnitude and Phase Responses in Fixed-Point Digital Filters
Daniel P. M. de Mello, Mauro L. de Freitas, Lucas C. Cordeiro +4
In the digital signal processing (DSP) area, one of the most important tasks is digital filter design. Currently, this procedure is performed with the aid of computational tools, w…
Automated Formal Synthesis of Digital Controllers for State-Space Physical Plants
Alessandro Abate, Iury Bessa, Dario Cattaruzza +5
We present a sound and automated approach to synthesize safe digital feedback controllers for physical plants represented as linear, time invariant models. Models are given as dyna…
Counterexample Guided Inductive Optimization
Rodrigo F. Araujo, Higo F. Albuquerque, Iury V. de Bessa +2
This paper describes three variants of a counterexample guided inductive optimization (CEGIO) approach based on Satisfiability Modulo Theories (SMT) solvers. In particular, CEGIO r…
Verifying Digital Systems with MATLAB
Lennon Chaves, Iury Bessa, Lucas Cordeiro +2
A MATLAB toolbox is presented, with the goal of checking occurrences of design errors typically found in fixed-point digital systems, considering finite word-length effects. In par…
DSValidator: An Automated Counterexample Reproducibility Tool for Digital Systems (Tool Demonstration)
Lennon Chaves, Iury Bessa, Lucas Cordeiro +1
An automated counterexample reproducibility tool based on MATLAB is presented, called DSValidator, with the goal of reproducing counterexamples that refute specific properties rela…
Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants
Alessandro Abate, Iury Bessa, Dario Cattaruzza +4
Modern control is implemented with digital microcontrollers, embedded within a dynamical plant that represents physical components. We present a new algorithm based on counter-exam…
SMT-Based Bounded Model Checking of Fixed-Point Digital Controllers
Iury Bessa, Renato Abreu, João Edgar Filho +1
Digital controllers have several advantages with respect to their flexibility and design's simplicity. However, they are subject to problems that are not faced by analog controller…