Results 221 to 230 of about 29,226 (268)

Model predictive control with adaptive Kalman filter for premixed turbocharged natural gas engine. [PDF]

Sci Rep
Xiong W, Gong Q, Huang S, Ye J, Xu J.
europepmc   +1 more source

Disturbance-tolerant quadrotor control using a hybrid LQR and super-twisting sliding mode approach. [PDF]

Sci Rep
Budak S, Sungur C, Durdu A.
europepmc   +1 more source

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A tracking MPC formulation that is locally equivalent to economic MPC

Journal of Process Control, 2016
The stability proof for economic Model Predictive Control (MPC) is in general difficult to establish. In, contrast, tracking MPC has well-established and practically applicable stability guarantees, but can yield poor closed-loop performance in terms-of the selected economic criterion.
Mario Zanon, Sébastien Gros, Moritz Diehl   +2 more
exaly   +3 more sources

Triple mode MPC or laguerre MPC: A comparison

Proceedings of the 2011 American Control Conference, 2011
This paper reviews triple mode predictive control for linear time invariant systems and considers the analogies with new approaches to conventional dual mode MPC algorithms deploying Laguerre polynomials. It is shown that there are strong analogies and moreover, that using the Laguerre insights within a Triple mode approach may significantly enlarge ...
Bilal Khan, J. Anthony Rossiter
openaire   +1 more source

MPC presents

ACM SIGGRAPH 2017 Computer Animation Festival, 2017
In this reel, MPC shows its team's award-winning work on "The Jungle Book". More than 800 artists worked for over a year animating over 54 species of animal, crafting full CG environments, and simulating earth, fire, and water.
Jonny Vale, Jon Favreau, Adam Valdez
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MPC with Friends and Foes

2020
Classical definitions for secure multiparty computation assume the existence of a single adversarial entity controlling the set of corrupted parties. Intuitively, the definition requires that the view of the adversary, corrupting t parties, in a real-world execution can be simulated by an adversary in an ideal model, where parties interact only via a ...
Bar Alon, Eran Omri, Anat Paskin-Cherniavsky   +2 more
openaire   +2 more sources

Real-time MPC - Stability through robust MPC design

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
Recent results have suggested that online Model Predictive Control (MPC) can be computed quickly enough to control fast sampled systems. High-speed applications impose a hard real-time constraint on the solution of the MPC problem, which generally prevents the computation of the optimal controller.
ZEILINIGER MELANIE, JONES COLIN NEIL, RAIMONDO, DAVIDE MARTINO, MORARI MANFRED   +3 more
openaire   +2 more sources

Stabilization of inexact MPC schemes

53rd IEEE Conference on Decision and Control, 2014
In model predictive control often the underlying optimization problem is not solved exactly to meet hard real-time bounds or to save computations. This jeopardizes properties of the closed loop system, such as stability, performance or recursive feasibility.
Markus J. Kögel, Rolf Findeisen
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Statistical Layered MPC

The seminal work of Rabin and Ben-Or (STOC ’89) showed that the problem of secure n-party computation can be solved for ...
Giovanni Deligios, Anders Konring, Chen-Da Liu-Zhang, Varun Narayanan   +3 more
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On MPC based trajectory tracking

2014 European Control Conference (ECC), 2014
This work proposes and investigates a tracking scheme for linear, constrained system based on a combination of model predictive control, virtual references and unknown input observers. In contrast to existing results the proposed approach allows to track a larger class of trajectories exactly: it does not require a reference model, does not need to ...
Markus J. Kögel, Rolf Findeisen
openaire   +2 more sources