Ensemble Optimal Control of Control-Affine Systems with Uncertain Initial Conditions
DOI:
https://doi.org/10.5540/03.2026.012.01.0280Palabras clave:
Optimal Control, Uncertain Systems, Riemann-Stieltjes Problem, Pontryagin Maximum Principle, Ensemble ControlResumen
We explore optimal control problems in systems with uncertain parameters that follow a probability distribution, aiming to optimize average performance. Known as Riemann-Stieltjes, average, or ensemble optimal control, these problems are essential when parameter uncertainty plays a significant role. We establish necessary conditions and analyze feedback control structures for control-affine systems. By extending the Pontryagin Maximum Principle through a Hilbert space approach, we characterize singular arcs, and numerical examples demonstrate the practical applicability of our findings.
Descargas
Citas
M. S. Aronna, J. F. Bonnans e P. Martinon. “A Shooting Algorithm for Optimal Control Problems with Singular Arcs”. Em: Journal of Optimization Theory and Applications 158.2 (jan. de 2013), pp. 419–459.
M. S. Aronna, M. Palladino e O. Sierra Fonseca. “Dynamic Programming Principle and Hamilton-Jacobi-Bellman Equation for Optimal Control Problems with Uncertainty”. Em: Preprint (2024). doi: 10.48550/arXiv.2407.13045.
P. Bettiol e N. Khalil. “Necessary optimality conditions for average cost minimization problems”. Em: Discrete and Continuous Dynamical Systems - B 24.5 (2019), pp. 2093–2124.
P. Cannarsa e H. Frankowska. “Value function and optimality conditions for semilinear control problems”. Em: Applied Mathematics and Optimization 26 (1992), pp. 139–169.
D. P. Kroese, T. Taimre e Z. I. Botev. Handbook of Monte Carlo Methods. Wiley, fev. de 2011. isbn: 9781118014967.
C. Phelps, J. O. Royset e Q. Gong. “Optimal Control of Uncertain Systems Using Sample Average Approximations”. Em: SIAM Journal on Control and Optimization 54.1 (jan. de 2016), pp. 1–29.