efficientMPC

Efficient Model Predictive Control Implementation

The original algorithm can be found: https://www.researchgate.net/profile/Peter-Gibbens-2/publication/270872533_Efficient_Model_Predictive_Control_Algorithm_for_Aircraft/links/54bd90390cf27c8f2814bad5/Efficient-Model-Predictive-Control-Algorithm-for-Aircraft.pdf

You can change the system provided with your own and test for convergence of the Quadratic Optimization solver as well, using two QP algorithms

Open main.m

Define your system parameters and continous time model (LTI)

Define your operating point (states X at t = 0), and discretization time.

Define weight matrices, upper and lower input constraints (it has to be in order like the example), along with incremental inputs, leave dU blank if there are none

Update the constraints, specify the prediction horizon for each output (Np) - the example contains 2 unique ones.

Configure the controller and run 2 quadratic optimization iterations to ensure that it's feasible.

EfficientMPC - Efficient Model Predictive Control Implementation

Related tags

Overview

efficientMPC

Owner

Vin

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

Implements pytorch code for the Accelerated SGD algorithm.

A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

Code repository for Self-supervised Structure-sensitive Learning, CVPR'17

Snscrape-jsonl-urls-extractor - Extracts urls from jsonl produced by snscrape

Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

Official PyTorch implementation of CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Level Based Customer Segmentation

Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'

Dist2Dec: A Simplicial Neural Network for Homology Localization

Multi-Modal Machine Learning toolkit based on PyTorch.

Pytorch implementation of the paper Time-series Generative Adversarial Networks

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering

PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection?

The code of paper 'Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection'

MINERVA: An out-of-the-box GUI tool for offline deep reinforcement learning

Out-of-Town Recommendation with Travel Intention Modeling (AAAI2021)

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).