collaborators

5 papers

math.OC2026

On Exact Critical-Region Boundaries in Continuous-Time Multiparametric Optimal Control Problems

Lida Lamakani, Efstratios N. Pistikopoulos

Continuous-time multiparametric model predictive control solves the optimal control problem once, offline, for every initial state, and divides the initial-state space into critica…

math.OC2026

Advances in Continuous-Time Multiparametric Optimal Control: The Role of Time-Varying Active Constraints

Lida Lamakani, Efstratios N. Pistikopoulos

Multiparametric optimal control in continuous time partitions the space of initial states into critical regions, each with its own control law involving a set of time-varying activ…

math.OC2026

Towards Fewer Control Laws via Continuous-Time Multiparametric Programming

Lida Lamakani, Efstratios N. Pistikopoulos

Multiparametric programming offers a powerful solution to the computational burden of solving optimal control problems repeatedly online. By solving the problem once offline, it yi…

math.OC2026

On Linear Critical-Region Boundaries in Continuous-Time Multiparametric Optimal Control

Lida Lamakani, Efstratios N. Pistikopoulos

When an optimal control problem is solved for all possible initial conditions at once, the initial-state space splits into critical regions, each carrying a closed-form control law…

math.OC2026

Multiparametric continuous-time optimal control via Pontryagin's Maximum Principle: explicit solutions and comparisons with discrete-time formulations

Lida Lamakani, Efstratios N. Pistikopoulos

Model predictive control offers a powerful framework for managing constrained systems, but its repeated online optimization can become computationally prohibitive. Multiparametric…