A continuous stirred-tank reactor (CSTR) system is widely applied in wastewater treatment
processes. Its control is a challenging industrial-process-control problem due to great …

The berthing of maritime autonomous surface ships (MASSs) is a challenging operation
even for an experienced captain due to the required complicated maneuvering at low …

The article studies the trajectory tracking control problem of underactuated marine vehicles
via the nonlinear model predictive control (NMPC) strategy, where practical control and state …

This work proposes single-layer nonlinear model predictive control schemes to solve the
autonomous navigation problem while providing obstacle avoidance feature in cluttered …

Smart home scheduling, facilitated by advanced metering, monitoring, and manipulation
technology, plays an important role in the energy transition in terms of accommodating …

This work proposes a finite-horizon optimal control strategy to solve the tracking problem
while providing avoidance features to the closed-loop system. Inspired by the set-point …

Efficient trajectory tracking approaches can enable autonomous vehicles not only to get a
smooth trajectory but to achieve a lower energy dissipation. Since vehicle model plays an …

This paper addresses the design of finite-dimensional feedback control laws for linear
discrete-time fractional-order systems with additive state disturbance. A set of sufficient …

The complex characteristics of the gas turbine in a combined cycle unit have brought great
difficulties in its control process. Meanwhile, the increasing emphasis on the efficiency …

Deep belief network (DBN) is an effective learning model based on deep learning. It can
hierarchically transform the input data via stacked feature detectors. As a predictive model …