[PDF] Top 20 A Practical Approach to Model Predictive Control (MPC)for Solar Communities
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A Practical Approach to Model Predictive Control (MPC)for Solar Communities
... interval for applying optimal control settings should be reduced as much as possible ...of control settings in the next ...requirement to achieve this implementation is a simplified way ... Voir le document complet
128
Reinforcement learning versus model predictive control: a comparison on a power system problem
... the control literature ...designed for solving stochastic optimal control problems and focus on the learning of closed-loop policies which are optimal for such ...therefore a handicap ... Voir le document complet
13
2020 — A nonlinear neural network-based model predictive control for industrial gas turbine
... model within the NMPC changes the control problem from a convex quadratic program to a nonconvex non-linear ...real-time control when the optimum has to be obtained in ... Voir le document complet
209
A Reactive Walking Pattern Generator Based on Nonlinear Model Predictive Control
... efforts to address this large scale nonlin- ear problem with roughly ten thousand variables [6], [14], no solution yet exists to generate physically consistent controls in real-time using humanoid robot ... Voir le document complet
9
Solving the Constrained Problem in Model Predictive Control Based Motion Cueing Algorithm with a Neural Network Approach
... different control strategies called Motion Cueing Algorithms (MCA) are implemented, which aim to better reproduce all the signals com- ing from the simulated vehicle model while keep- ing the ... Voir le document complet
8
A Distributed Model Predictive Control Framework for Road-Following Formation Control of Car-like Vehicles (Extended Version)
... presented a distributed MPC-based formation control framework for car-like autonomous vehicles on the ...proposed approach is distributed so that each vehicle locally computes a ... Voir le document complet
8
A Hierarchical Model Predictive Control Framework for On-road Formation Control of Autonomous Vehicles
... A Hierarchical Model Predictive Control Framework for On-road Formation Control of Autonomous Vehicles Xiangjun Qian Arnaud de La Fortelle Fabien Moutarde Abstract— This paper ... Voir le document complet
7
Model Predictive Control to improve the power system stability
... ODEL PREDICTIVE C ONTROL 1) Theory behind MPC MPC is based on iterative, finite horizon optimization of a plant ...and a cost minimizing control strategy is computed (via a numerical ... Voir le document complet
4
Coordinated Supervisory Control of Multi-Terminal HVDC Grids: a Model Predictive Control Approach
... current to a desired operating point; 5) avoid excessive impact on the adjacent AC systems and provide additional services (such as frequency ...ing to their ability to handle ...devised ... Voir le document complet
10
Model Predictive Control of Building Systems for Energy Flexibility
... flexibility for two types of residential buildings in Denmark (a passive house and an old house built in the 1980s) as well as for two kinds of heating systems (radiators and underfloor ...terms. ... Voir le document complet
147
Generating Models for Model Predictive Control in Buildings
... the solar radiation, T bnd and C bnd the temperature and CO2 concentration at the ...measured for N time samples, it is possible to apply identification techniques to seek a data-driven ... Voir le document complet
5
Stable Model Predictive Strategy for Rendezvous Hovering Phases Allowing for Control Saturation
... set to 5% and the convergence time is normalized by the orbital period of the leader spacecraft, providing an idea of the number of orbits needed to achieve ...obtained for all performed ...respect ... Voir le document complet
43
Model Predictive Path Integral Control Framework for Partially Observable Navigation: A Quadrotor Case Study
... extension to the clas- sical MPPI framework that enables the robot to navigate autonomously in 2D or 3D environments while avoiding collisions with ...is to provide MPPI with a 2D or 3D grid ... Voir le document complet
9
Whole-body Model-Predictive Control applied to the HRP-2 Humanoid
... time for humanoid ...robots to manipulate heavy objects, climb on uneven terrain, use the environment to stay balanced while in multiple contacts (as in ...controller. To achieve this the ... Voir le document complet
9
A Practical Approach for 3D Model Indexing by combining Local and Global Invariants
... using a single descriptor. But they also show the limitation of the approach when the mesh is not reg- ular: 3D models come from different sources, so it is not always possible to control the ... Voir le document complet
5
Gain scheduled flight control law for a flexible aircraft : A practical approach
... loads for (V c = 230kt,ω 2N W = ...interpolation to the case of LMI-region stability for a vector scheduling va- ...on a flexible air- craft application was not an easy ...difficulties ... Voir le document complet
6
Model predictive control for rendezvous hovering phases based on a novel description of constrained trajectories
... waiting for the order to proceed to the next step of the ...inside a restricted zone defined in the body-fixed frame of the leader ...in a fuel-optimal way, while also accounting ... Voir le document complet
7
Model Predictive Control, Cost Controllability, and Homogeneity
... equal to zero We begin with globally asymptotically null controllable systems with negative degree of homogeneity, ...refer to Example 2, which shows the necessity of this restriction for the ... Voir le document complet
23
Detecting Lie-A Practical Approach
... study, a lie detector (polygraph) which is an instrument that observes the physiological changes when the person is lying was experimented by checking several ...us to judge whether the person is lying or ... Voir le document complet
7
A practical application approach to argumentation for multicriteria analysis and decision support
... Making a decision involving several stakeholders with different objectives requires to take into account various types of information: the consequences of each possible decision, the stakeholders’ ... Voir le document complet
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