Results 31 to 40 of about 53,295 (225)
The Impact of Insurance on the Law of Torts [PDF]
, 1950 An experimental study of "Model-on-Demand" (MoD) identification is made on a pilot-scale brine-water mixing tank. MoD estimation is compared against semi-physical modeling techniques using identification data generated from a systematically designed m ...
Braun, M. W. +3 more
core +2 more sources
Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation [PDF]
, 2014 In this paper, an actuator fault-tolerant control (FTC) scheme is proposed, which is based on tube-based model predictive control (MPC) and set-theoretic fault detection and isolation (FDI). As a robust MPC technique, tube-based MPC, can effectively deal
Niculescu, Silviu-Iulian +4 more
core +1 more source
New offset-free method for model predictive control of open channels [PDF]
, 2015 Irrigation or drainage canals can be controlled by model predictive control (MPC). Applying MPC with an internal model in the presence of unknown disturbances in some cases can lead to steady state offset.
Galvis, Eduard +3 more
core +2 more sources
Model-Free Predictive Current Control of a Voltage Source Inverter
IEEE Access, 2020 Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the MPC strategy is highly reliant on
Jose Rodriguez +5 more
doaj +1 more source
, 2020 Today's fast linear algebra and numerical optimization tools have pushed the frontier of model predictive control (MPC) forward, to the efficient control of highly nonlinear and hybrid systems.
Martius, Georg, Zhu, Jia-Jie
core +1 more source
Optimal Signal Design in System Identification for Model Predictive Control (MPC)
IEEE Access, 2023 In control engineering, system identification is frequently used to create models from input-output data. The MPC is a very well-known control strategy because of its capacity to deal with a system’s limitations. MPC determines the optimal input based on optimization. The optimization for each time step needs to be achieved in less time than the
Md. Tanjil Sarker, Gobbi Ramasamy
openaire +3 more sources
Missile IGC Based on Improved Model Predictive Control and Sliding Mode Observer
International Journal of Aerospace Engineering, 2021 Considering recurrent optimization process in model predictive control (MPC), the model uncertainties and disturbances terms in the missile’s guidance and control model can degrade recursive feasibility, and there are control mutation problems in common ...
Li Ma +3 more
doaj +1 more source
Predictive Control of Autonomous Kites in Tow Test Experiments [PDF]
, 2017 In this paper we present a model-based control approach for autonomous flight of kites for wind power generation. Predictive models are considered to compensate for delay in the kite dynamics.
Hesse, Henrik +2 more
core +2 more sources
Model predictive control for electrical drive systems-an overview
CES Transactions on Electrical Machines and Systems, 2017 This paper reviews the classification and application of the model predictive control (MPC) in electrical drive systems. Main attention is drawn to the discrete form of MPC, i.e.
Fengxiang Wang +3 more
doaj +1 more source
IEEE Access, 2023 In recent years, the model predictive control (MPC) algorithm has been increasingly applied to the path tracking of self-driving vehicles due to its capacity to deal with dynamic constraints explicitly.
Sibing Yang, Cong Geng
doaj +1 more source