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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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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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Proceedings of the 2019 2nd International Conference on Blockchain Technology and Applications, 2019
The blockchain is a decentralized distributed accounting system. With the development of the blockchain technology and its wide application, the core of the decentralization-consensus algorithm has attracted the attention of researchers. However, the previous POW mining consensus algorithm is a low-efficiency and high-cost consensus mechanism.
Yinghui Luo +3 more
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The blockchain is a decentralized distributed accounting system. With the development of the blockchain technology and its wide application, the core of the decentralization-consensus algorithm has attracted the attention of researchers. However, the previous POW mining consensus algorithm is a low-efficiency and high-cost consensus mechanism.
Yinghui Luo +3 more
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Triple mode MPC or laguerre MPC: A comparison
Proceedings of the 2011 American Control Conference, 2011This 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 ...
B. Khan, J. A. Rossiter
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Distributed Lyapunov-Based MPC
2013We provide an almost decentralized solution to the problem of stabilizing a network of discrete-time nonlinear systems with coupled dynamics that are subject to local state/input constraints. By "almost decentralized" we mean that each local controller is allowed to use the states of neighboring systems for feedback, whereas it is not permitted to ...
Hermans, R.M., Lazar, M., Jokic, A.
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Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing, 2010
Most protocols for distributed, fault-tolerant computation, or multi-party computation (MPC), provide security guarantees in an all-or-nothing fashion. In contrast, a hybrid-secure protocol provides different security guarantees depending on the set of corrupted parties and the computational power of the adversary, without being aware of the actual ...
Christoph Lucas +2 more
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Most protocols for distributed, fault-tolerant computation, or multi-party computation (MPC), provide security guarantees in an all-or-nothing fashion. In contrast, a hybrid-secure protocol provides different security guarantees depending on the set of corrupted parties and the computational power of the adversary, without being aware of the actual ...
Christoph Lucas +2 more
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2012
Model predictive control (MPC) is a modern optimization based control strategy, which has been predominantly used for applications with slow dynamics so far. The implementation of MPC for fast systems such as active vibration attenuation (AVC) requires a firm theoretical knowledge of the method, its issues and limitations.
Gergely Takács, Boris Rohal’-Ilkiv
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Model predictive control (MPC) is a modern optimization based control strategy, which has been predominantly used for applications with slow dynamics so far. The implementation of MPC for fast systems such as active vibration attenuation (AVC) requires a firm theoretical knowledge of the method, its issues and limitations.
Gergely Takács, Boris Rohal’-Ilkiv
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2012
Computing the control input for constrained model predictive control (MPC) is a complex and time-consuming process. The constrained problem formulation does not allow the control law to be expressed as a closed equation; instead, a numerical optimization problem has to be performed online at each sampling period.
Gergely Takács, Boris Rohal’-Ilkiv
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Computing the control input for constrained model predictive control (MPC) is a complex and time-consuming process. The constrained problem formulation does not allow the control law to be expressed as a closed equation; instead, a numerical optimization problem has to be performed online at each sampling period.
Gergely Takács, Boris Rohal’-Ilkiv
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Malignant Phaeochromocytoma (MPC)
2015The overall annual incidence of phaeochromocytoma is 6 per one million population [1]. MPCs account for only 10 % of all phaeochromocytomas and mostly occur in the 30–40-year age group. Clinically, MPCs like their benign counterparts present with paroxysmal hypertension, headaches, palpitations, etc.
Said Abdallah Al-Mamari +1 more
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