Real-Time Model Predictive Control
A Model Predictive Control Framework for Real-Time Optimisation of Water System Operations
... for control of an urban storm and wastewater system in Aarhus, Denmark with a concentration time of about half an hour to one hour (Halvgaard et ...surrogate model has been derived and calibrated ...
8
Real time control of the South North water transfer project within Jiangsu Province in China : development and assessment of model predictive control (MPC) as operational management sytems
... a control algorithm that makes explicit use of a simplied process model (internal model) of the real system to obtain control actions by minimizing an objective function over the ...
102
PreCount: a predictive model for correcting real-time occupancy count data
... Ken et al. (Christensen et al. 2014) investigated three tiers of implicit occupant estima- tion that reuses existing infrastructure in buildings. The first tier involves the sole use of existing infrastructure such as ...
22
Constrained Controller Design for Real-time Delay Recovery in Metro Systems
... A real-time delay recovery problem for metro loop lines using constrained Model Predictive Controller (MPC) and constrained Linear Quadratic Regulator (LQR) controllers in the presence of ...
9
Real Time Predictive Speed Analysis for High Speed Rail Collision Test
... a real train collision, but this does requires massive amounts of time and expense ...the real train collision test, a train locomotive needs to be propelled on a straight, guided path, to a ...
85
Real-Time Flux-weakening Control for an IPMSM Drive System Using a Predictive Controller
... of predictive control was first proposed in the 1970s, and predictive controllers have been used in chemical and steel processing for more than 40 ...Recently, predictive control has ...
11
Kajian penentuan kawasan bukit berisiko menggunakan sistem maklumat geografi (GIS)
... empirical model of the test-bed is ...a real-time predictive control algorithm to a coupled tank for level control process using GPC and its control performance will be ...
20
Real-time predictive control for SI engines using linear parameter-varying models
... is control design based on Linear Parameter Varying (LPV) ...LTI model-based MPC and the less-attainable full nonlinear ...Generalized Predictive Control (NGPC) problem in a useful form for ...
8
An Adaptive Disturbance Model for Model Predictive Control
... disturbance model. Using a fixed disturbance model shows degraded performance when the disturbances in the system are time ...regressive model for representing unmeasured ...in real ...
8
Improved Optimization Process for Nonlinear Model Predictive Control of PMSM
... of control nonlinear and multivariable systems and also easily adding of desired constraints to the objective function, the MPC has grown both in industry and theoretical researches ...and control in ...its ...
11
Real-Time Adaptive Predictive Control for Hybrid Thermoelectric Refrigerator System
... on control studies for Hybrid Thermoelectric Refrigerator (H-TER) ...varying model parameters and dead-time, hence the objective of the study is to investigate control strategies that are not ...
7
Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization
... in real time measurement of salinity and water level measurements, using a Model Predictive Control (MPC) scheme for the operation of a polder system is gaining ...powerful ...
6
Model Predictive Control for Process Flow Application using LabVIEW
... a real-time implementation of model predictive control (MPC) for a dynamic system, using MATLAB/Simulink toolboxes, for flow process ...between Model Predictive ...
6
Model predictive control of forming processes
... All the values for the spring stiffness found in the force curves from the test setup are much lower than the nominal spring stiffness used. This is probably due to the compliance of the tooling. When comparing the first ...
67
Control of Constrained Linear-Time Varying Systems via Kautz Parametrization of Model Predictive Control Scheme
... sampling time, in Model Predictive Control (MPC) as small as possible is a continuous ...discrete- time systems and showed its effectiveness in reducing the number of decision variables ...
10
Robust predictive control of constrained systems with actuating delay.
... in control and to account the need for measuring the output of the plant to reproduce the system states, known as output ...perfect model of the plant under control, persistent state disturbances and ...
80
A Novel Wideband Microstrip Patch Antenna with Non-Uniform Feed Based on Model Predictive
... in control systems and process industries such as chemical plants, power electronics, ventilation, and air conditioning (HVAC) System Energy Efficiency [18, ...
9
More electric aircraft starter generator system with utilization of hybrid modulated model predictive control
... The advantage of MPC is its capability to predict future states over a fixed time horizon based on the control inputs and measured present states. For a power converter, this data is optimised within a cost ...
6
The real-time predictive content of the KOF Economic Barometer
... We follow Amato and Swanson (2001) by presenting the results of standard Granger causality tests. The null hypothesis is that the KOF Barometer does not Granger cause GDP growth rate in Switzerland. For every estimation ...
23
Nested Distributed Model Predictive Control
... Abstract: We propose a distributed model predictive control approach for linear time-invariant systems coupled via dynamics. The proposed approach uses the tube MPC concept for robustness to ...
8