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An interval branch and bound global optimization algorithm for parameter estimation of three photovoltaic models
In this paper, an interval branch and bound algorithm is proposed to estimate the
parameters for three models of photovoltaic (PV) cells. These models are a single diode …
parameters for three models of photovoltaic (PV) cells. These models are a single diode …
Construction of parametric barrier functions for dynamical systems using interval analysis
Recently, barrier certificates have been introduced to prove the safety of continuous or
hybrid dynamical systems. A barrier certificate needs to exhibit some barrier function, which …
hybrid dynamical systems. A barrier certificate needs to exhibit some barrier function, which …
Interval branch-and-bound algorithms for optimization and constraint satisfaction: a survey and prospects
Abstract Interval Branch and Bound algorithms are used to solve rigorously continuous
constraint satisfaction and constrained global optimization problems. In this paper, we …
constraint satisfaction and constrained global optimization problems. In this paper, we …
A three-step methodology for dimensional tolerance synthesis of parallel manipulators
Computing the maximal pose error given an upper bound on model parameters
uncertainties, called perturbations in this paper, is challenging for parallel robots, mainly …
uncertainties, called perturbations in this paper, is challenging for parallel robots, mainly …
Computation of parametric barrier functions for dynamical systems using interval analysis
The formal verification of safety properties for hybrid systems is an important but challenging
problem. Recently, barrier functions have been introduced to prove safety without requiring …
problem. Recently, barrier functions have been introduced to prove safety without requiring …
Probabilistic symbolic analysis of neural networks
Neural networks are powerful tools for automated decision-making, with applications
ranging from image recognition to hiring decisions and safety-critical autonomous driving …
ranging from image recognition to hiring decisions and safety-critical autonomous driving …
Node selection strategies in interval branch and bound algorithms
We present in this article new strategies for selecting nodes in interval Branch and Bound
algorithms for constrained global optimization. For a minimization problem the standard best …
algorithms for constrained global optimization. For a minimization problem the standard best …
A standard branch-and-bound approach for nonlinear semi-infinite problems
A Marendet, A Goldsztejn, G Chabert… - European Journal of …, 2020 - Elsevier
This paper considers nonlinear semi-infinite problems, which contain at least one semi-
infinite constraint (SIC). The standard branch-and-bound algorithm is adapted to such …
infinite constraint (SIC). The standard branch-and-bound algorithm is adapted to such …
Estimating the robust domain of attraction for non-smooth systems using an interval Lyapunov equation
A Goldsztejn, G Chabert - Automatica, 2019 - Elsevier
The Lyapunov equation allows finding a quadratic Lyapunov function for an asymptotically
stable fixed point of a linear system. Applying this equation to the linearization of a nonlinear …
stable fixed point of a linear system. Applying this equation to the linearization of a nonlinear …
Hybridizing two linear relaxation techniques in interval-based solvers
In deterministic global optimization, techniques for linear relaxation of a non-convex
program are used in the lower bound calculation phase. To achieve this phase, most …
program are used in the lower bound calculation phase. To achieve this phase, most …