linear time-varying model predictive controldifferential dynamic programmingWe propose a design of data-driven Model Predictive Control (MPC) using a suboptimal trajectory and the linear time-varying (LTV) models from data-driven trajectory optimisation that achieves offset-free tracking. Data-driven ...
This work addresses the problem of offset-free Model Predictive Control (MPC) when tracking an asymptotically constant reference. In the first part, compact and intuitive conditions for offset-free MPC control are introduced by using the arguments of the internal model principle. In the second part...
This work addresses the problem of offset-free model predictive control (MPC) when tracking a constant reference. It builds on the work in (G. Pannocchia, 2003), (G. Pannocchia, et al., 2002) and summarizes in a compact and intuitive manner the conditions that need to be satisfied to...
\{ARX\} models simplify system identification as they can be identified from data using convex optimization. Furthermore, the proposed controller is simple to tune as it has only one free tuning parameter. These two features are advantageous in predictive process control as they simplify industrial...
offset-free model predictive controlmodel reductionvariable refrigerant low systemdedicated outdoor air systemfunctional mockup interface co-simulationVariable refrigerant flow (VRF) system has been an appealing solution of air conditioning for residential and commercial buildings, due to its flexibility and...
In order to build an offset free controller, three steps are followed: first, a basic controller is discussed (Section 4.1); second, another controller is described with integral action (Section 4.2); and finally the new offset-free predictive control is derived (Section 4.3). Additionally, in...
This paper proposes a novel economic Model Predictive Control algorithm aiming at achieving optimal steady-state performance despite the presence of plant-model mismatch or unmeasured nonzero mean disturbances. According to the offset-free formulation, the system’s state is augmented with disturbances ...
This paper presents the schemes of nonlinear offset-free model predictive control (MPC) for reference tracking of ship dynamic positioning (DP) systems, in the presence of slow-varying stochastic disturbances and input constraints. Two offset-free MPC strategies for nonlinear DP systems are proposed....
Canadian Journal of Chemical EngineeringDas, B.; Mhaskar, P. Lyapunov-based offset-free model predictive control of nonlinear process systems. Can. J. Chem. Eng. 2015, 93, 471-478. c 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article dis...
scale Re-proxy compilation does not express other environmental controls (Methods). While temperature and hydrology controls likely operate, based on the available data, their spatial predictive power is small. Here, oxidative weathering is modelled at a 1-km2grid scale, resolving at the scale of ...