Agriculture plays a decisive role in the survival of humankind. The efficient and precise
regulation of agriculture will ensure the welfare of people throughout the world. However …

This paper seeks to securely maximize the maneuverability of autonomous vehicles using a
nonlinear learning-predictive controller to enable safety-guaranteed aggressive vehicle …

Cloud data centers used for High Performance Computing (HPC) with volatile Internet of
Things (IoT) devices absolutely requires zero-speed switching/low latency, normalized …

This study presents the design of feedback controllers for generalized cost functions to deal
with stochastic optimal control problems. Target linear systems contain time-invariant …

In this manuscript, a two-input two-output (TITO) control strategy for an exothermic
continuous chemical reactor is presented. The control tasks of the continuous chemical …

Motion planning and controller design are challenging tasks for highly coupled and
nonlinear dynamical systems such as autonomous vehicles and robotic applications …

This paper presents the concept of neural predictive techniques for the modeling and
controlling of the greenhouse system (GHS). Greenhouse system provides the favorable …

In the future of the autonomous car industry saving lives might depend on more demanding
maneuvers than what the average drivers know how to do. Professional race car drivers, as …

This chapter describes the design of nonlinear model predictive control (MPC) for
polynomial systems. Polynomial systems arise in many applications, including in power …

Multivariate polynomial optimization is a prevalent model for a number of engineering
problems. From a mathematical viewpoint, polynomial optimization is challenging because it …