The growing need for high-performance controllers in safety-critical applications like autonomous driving motivated the development of formal safety verification techniques. In this letter, we design and implement a predictive filter that is able to maintain vehicle with respect track boundaries when paired alongside any potentially unsafe control signal, such as those found learning-based meth...

In this paper multi-input Cuk- derived buck-boost inverter is presented based on Model Predictive Control (MPC). The control technique applied to multi- input because of the several features such as reduction passive elements compared with two-stage topologies and family impedance inverters Z-source Inverter (ZSI), Quazi Source Inverter(QSI), T-Source (TSI), Y-Source (YSI) .in addition , it sui...

This work presents a hierarchical distributed model predictive control approach for multiple agents with cooperative negotiations based on fuzzy inference. Specifically, fuzzy-based two-layer architecture is proposed. In the lower layer, there are pairwise between according to couplings and communication network. The resulting sequences sent coordinator in upper which merges them compute final ...

Koopman operators are of infinite dimension and capture the characteristics nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation results class predictors, useful for formulating model predictive control (MPC) dynamical systems with reduced computational complexity. However, robustness closed-loop MPC under modeling errors possible exogenous disturbances is s...

The paper considers the issue of approbation adaptive predictive control for heating, ventilation and air conditioning systems, shows possibility improving regulation processes by its application on example system. idea using model is presented, principles MPC controller are noted, structure criterion choosing optimal values signal considered. feature presence mathematical object, which accurat...