Robust Temporal Logic Model Predictive Control [PDF]
Control synthesis from temporal logic specifications has gained popularity in recent years. In this paper, we use a model predictive approach to control discrete time linear systems with additive bounded disturbances subject to constraints given as ...
Belta, Calin, Sadraddini, Sadra
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Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Control
This paper presents an implementation of model predictive control (MPC) to determine ground reaction forces for a torque-controlled quadruped robot. The robot dynamics are simplified to formulate the problem as convex optimization while still capturing ...
J. Carlo +4 more
semanticscholar +1 more source
Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges
Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems.
P. Karamanakos +3 more
semanticscholar +1 more source
Gaussian process model based predictive control [PDF]
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
, +4 more
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A FRACTIONAL MODEL PREDICTIVE CONTROL DESIGN FOR 2-D GANTRY CRANE SYSTEM [PDF]
Fractional calculus has been a research focus since the last four decades to control the dynamical systems. Advances in fractional calculus such as Fractional Model Predictive Control had shown that system dynamics could be controlled even more ...
ABHAYA P. SINGH, H. AGRAWAL
doaj
Research on predictive control for mine high-pressure three-level ANPC inverter
A predictive control program for mine high-pressure three-level ANPC inverter based on predictive model control was proposed. The program uses current predictive control to achieve three-level ANPC high dynamic performance and unity power factor control,
YU Jing, MO Xiuquan, XU Na
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A Review on Predictive Control Technology for Switched Reluctance Motor System
The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control ...
Yiliang Zhu, Ming Yao, Xiaodong Sun
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Cautious Model Predictive Control Using Gaussian Process Regression [PDF]
Gaussian process (GP) regression has been widely used in supervised machine learning due to its flexibility and inherent ability to describe uncertainty in function estimation.
Lukas Hewing, Juraj Kabzan, M. Zeilinger
semanticscholar +1 more source
Finite control set model predictive torque control using sliding model control for induction motors
Finite control set model predictive torque control (FCS-MPTC) has become increasingly prevalent for induction motors (IM) owing to its simple concept, easy incorporation of constraints and strong flexibility.
Yanqing Zhang +4 more
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Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds [PDF]
This article presents a novel representation-free model predictive control (RF-MPC) framework for controlling various dynamic motions of a quadrupedal robot in three-dimensional (3-D) space.
Yanran Ding +4 more
semanticscholar +1 more source

