lidongyang's starred repositories

MATLAB_Algorithm_with_cases

遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等常用智能算法的MATLAB实现

Language:MATLABStargazers:422Issues:5Issues:0

smpc_example

Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.

stackelberg_Game

主从博弈 下层KKT条件 强对偶处理双线性

learning_modeling_with_baltamatica

基于北太天元的数学建模新手教材编写,感谢北京大学卢朓老师、李若老师等人的支持

two-stage-MG

复现**电机工程学报《微电网两阶段鲁棒优化经济调度方法》

Language:PythonStargazers:34Issues:0Issues:0

RMPC_MixedUncertainty

Robust MPC for Linear Systems with Parametric and Additive Uncertainty

Language:MATLABLicense:MITStargazers:23Issues:2Issues:1

Microturbine-control-with-MPC

Model Predictive Control of microturbine-based distributed generation systems in the intelligent operation of distribution networks

Language:MATLABStargazers:13Issues:2Issues:0

Distribution_networks_reconfiguration

Reconfiguration of distribution networks using mixed integer second-order cone model (MISOCP)

Language:MATLABLicense:Apache-2.0Stargazers:11Issues:0Issues:0

Transmission-Expansion-Planning-TEP-

Optimal probabilistic planning of the transmission network development with the consideration of wind resource uncertainty

Language:MATLABStargazers:9Issues:0Issues:0

003-Microgrid-double-layer-energy-management-model-based-on-model-prediction-algorithm

003基于模型预测算法的含储能微网双层能量管理模型1

Language:MATLABLicense:CC0-1.0Stargazers:9Issues:1Issues:0
Language:MATLABStargazers:8Issues:1Issues:0

chanceDPA

Implements a dynamic programming algorithm solving a joint probabilistic constraint.

Language:MATLABLicense:MITStargazers:8Issues:0Issues:0

semester-thesis

Source code of my semester thesis "Chance-Constrained Programming for Autonomous Vehicles in Uncertain Environments", completed as part of my MSc studies at ETH Zurich.

Language:MATLABLicense:MITStargazers:7Issues:1Issues:0

power_grid_bearing_capacity_evaluation

分布式电源接入电网承载力评估开源matlab程序

Language:MATLABLicense:GPL-3.0Stargazers:6Issues:0Issues:0

Power-Grid-Stability-Under-Uncertainty

Code to accompany "Optimisation of Power Grid Under Uncertainty"

Joint-Chance-Constraints

We consider a n-player game where each player's strategy set contains some stochastic linear constraints. The existence of a Nash Equilibrium under certain conditions has been proved earlier. We further analyse this problem via a constructed example of a Cournot Competition among electricity firms over a Network. We run simulations of an Iterative scheme to find the Nash Equilibrium in this context and describe the results.

Language:MATLABStargazers:6Issues:1Issues:0

DRSE

Online supplementary materials of the paper titled "Robust State Estimation for Linear Systems Under Distributional Uncertainty"

Language:MATLABStargazers:6Issues:1Issues:0

ERMPC

This repository contains some of the codes developed during the study of Efficient Robust Model Predictive Control via Convex Optimizaition - Master's Program in Electrical Engineering - Federal University of Ceara.

License:MITStargazers:5Issues:0Issues:0

GSAforSE

Codes to perform the analyses presented in the "Global Sensitivity Analysis of State Estimation for Power Distribution Systems" paper.

Language:MATLABLicense:CC-BY-4.0Stargazers:5Issues:1Issues:0

can-uncertainty-promote-trade

Code repository for "Can Global Uncertainty Promote International Trade?" (JIE)

Language:MATLABStargazers:5Issues:1Issues:0

dcdroopHvdc

MTDC VSC HVDC Transmission for Offshore Wind Farms

Language:MatlabStargazers:5Issues:0Issues:0

DRSE-Outlier

Online supplementary materials of the paper titled "Distributionally Robust State Estimation for Linear Systems Subject to Uncertainty and Outlier"

Language:MATLABStargazers:5Issues:1Issues:0

IEEE34

optimal power flow of IEEE 34 node test feeder

Language:MATLABStargazers:5Issues:2Issues:0

Adaptive_MPC_on_NSCLC

Recent advancements in Cybergenetics have lead to the development of new computational and experimental platforms that enable to robustly steer cellular dynamics by applying external feedback control. Such technologies have never been applied to regulate intracellular dynamics of cancer cells. Here, we show in silico that Adaptive Model Predictive Control (MPC) can effectively be used to steer signalling dynamics in Non-Small Cell Lung Cancer (NSCLC) cells to resemble those of wild-type cells, and to support the design of combination therapies. Our optimisation-based control algorithm enables tailoring the cost function to force the controller to alternate different drugs and/or reduce drug exposure, minimising both drug-induced toxicity and resistance to treatment. Our results pave the way for new cybergenetics experiments in cancer cells for drug combination therapy design - https://doi.org/10.1101/2022.03.14.484268

Language:MATLABLicense:MITStargazers:4Issues:0Issues:0

LB-Multi-Stage-NMPC

Learning-based multi-stage NMPC algorithm with guarantees on feasibility using robust control invariant sets

Language:MATLABStargazers:4Issues:0Issues:0

RobustPowerPlanning

Code Repository for "Robust Renewable Energy Resource Planning and Operations in Electric Grids"

Language:MATLABLicense:MITStargazers:2Issues:2Issues:0

CCRC

matlab implementation for "Chance Constraint Robust Control with Control Barrier Functions"

Language:MATLABStargazers:2Issues:1Issues:0

3CP

Chance Constraint Convex Programming

Language:MATLABStargazers:1Issues:0Issues:0

CGRsensitivity

the code to load data and analyze climate sensitivity of atmospheric CO2 growth rate

Language:MATLABStargazers:1Issues:0Issues:0