Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives

Y Shi, K Zhang - Annual Reviews in Control, 2021 - Elsevier
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

Model predictive control design for linear parameter varying systems: A survey

MM Morato, JE Normey-Rico, O Sename - Annual Reviews in Control, 2020 - Elsevier
Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

Building HVAC control with reinforcement learning for reduction of energy cost and demand charge

Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan… - Energy and …, 2021 - Elsevier
Energy efficiency remains a significant topic in the control of building heating, ventilation,
and air-conditioning (HVAC) systems, and diverse set of control strategies have been …

Dynamic control and optimization of distributed energy resources in a microgrid

T Wang, D O'Neill, H Kamath - IEEE transactions on smart grid, 2015 - ieeexplore.ieee.org
As we transition toward a power grid that is increasingly based on renewable resources like
solar and wind, the intelligent control of distributed energy resources (DERs) including …

A real-time algorithm for moving horizon state and parameter estimation

P Kühl, M Diehl, T Kraus, JP Schlöder… - Computers & chemical …, 2011 - Elsevier
A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …

Efficient nonlinear model predictive control for quadrotor trajectory tracking: Algorithms and experiment

D Wang, Q Pan, Y Shi, J Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article studies an efficient nonlinear model-predictive control (NMPC) scheme for
trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV). By augmenting the …

Real-time model predictive control for shipboard power management using the IPA-SQP approach

H Park, J Sun, S Pekarek, P Stone… - … on Control Systems …, 2015 - ieeexplore.ieee.org
Shipboard integrated power systems, the key enablers of ship electrification, call for effective
power management control (PMC) to achieve optimal and reliable operation in dynamic …

Energy-efficient heating control for nearly zero energy residential buildings with deep reinforcement learning

H Qin, Z Yu, T Li, X Liu, L Li - Energy, 2023 - Elsevier
Abstract Controlling Heating, Ventilation and Air Conditioning (HVAC) systems is critical to
improving energy efficiency of demand-side. In this paper, a model-free optimal control …

Control and optimization of grid-tied photovoltaic storage systems using model predictive control

T Wang, H Kamath, S Willard - IEEE Transactions on Smart …, 2014 - ieeexplore.ieee.org
In this paper, we develop optimization and control methods for a grid-tied photovoltaic (PV)
storage system. The storage component consists of two separate units, a large slower …

Fuel efficiency‐oriented platooning control of connected nonlinear vehicles: a distributed economic MPC approach

D He, T Qiu, R Luo - Asian Journal of Control, 2020 - Wiley Online Library
This paper considers the fuel efficiency‐oriented platooning control problem of connected
vehicles. We present a novel distributed economic model predictive control (EMPC) …