wuyou33 Goto Github PK

open_motion

Inertial Fusion Library

open_ptrack

Open source people tracking library

openvio

OPENVIO 一款脱胎于OPENMV的智能摄像头

operating-cost-optimization

ship operating cost

opf-admm

Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem

opf-admm-1

Distributed Optimal Power Flow for Radial Networks via Message Passing Interface (MPI)

opf-sdp

Speed-up the OPF calculation with SDP Relaxation

opf_benchmarks

A benchmark suite of OPF problems comparing various OPF formulations and interior-point optimizers in Matpower

opfsdr

Semidefinite relaxation of optimal power flow problems

optiflow_open

Library and utilities for optimising airfoils and hydrofoils, designing wind or tidal turbine rotors via planform optimisation, calibrating viscous-inviscid interaction codes, and modelling flow control devices. DOI:10.5281/zenodo.3520280

optimal-and-robust-control-2017

file backup for the presentation

optimal-control-sepic-converter

Designed and simulated the optimal controllers for SEPIC converter. Used Model Kalman filtering, also known as Linear Quadratic Estimation (LQE) for recovering the states. Compare two controllers: A Linear-Quadratic Regulator (LQR) and a Model Predictive Control (MPC) . The calculations made on Matlab, and simulated on Simulink.

optimal-mrpp-continuous

Optimal multi-robot path planning in continuous 2D domain

optimal-mrppg-journal

Optimal multi-robot path planning on graphs - four objectives

optimal-prediction-algorithms

Algorithms for predictive control and estimation of rotative hanging objects (model can be easily replaced). Matlab implementations and real time optimized versions with C++ and OROCOS. European Project HIGHWIND in cooperation with University of Freiburg.

optimal_power_flow

OPF Master Thesis

optimalbeziertrajectorygeneration

optimised-wind-energy-response-to-grid-faults

Recently, supporting the grid voltage and proper operation of the grid-connected converters (GCCs) under a wide range of grid voltage conditions have become major requirements. An analytical study is very useful for evaluating the supporting capability of the available control strategies in GCCs. This paper analytically studies, then modifies the supporting capability of three existing strategies. The contribution of this paper is two-fold: first, analytical expressions of instantaneous active/reactive powers oscillation and maximum phase currents are formulated and used to conduct several comparisons among different strategies. Second, based on the obtained formulas for the maximum phase currents, maximum allowable support (MAS) control schemes are proposed under unbalanced voltage conditions. The MAS control schemes have two important objectives: obtaining maximum active or reactive power delivery and simultaneously respecting the maximum phase currents under the unbalanced condition. The proposed equations can further estimate the maximum depth of the faulted voltage where each strategy is still able to satisfy the voltage support requirements imposed by the grid codes. The proposed expressions can also help all techniques to provide their maximum voltage or frequency support under the pre-set maximum phase current limitations. Different selected simulation and experimental tests are carried out for comparing the strategies, and validating the effectiveness of the proposed MAS equations.

optimization-for-idn

MILP and MINLP Optimization Models for Isolated Distribution Network

optimization-of-the-apfs-placement-based-on-instantaneous-reactive-power-theory-by-genetic-algorithm

In electrical distribution systems, a great amount of power are wasting across the lines, also nowadays power factors, voltage profiles and total harmonic distortions (THDs) of most loads are not as would be desired. So these important parameters of a system play highly important role in wasting money and energy, and besides both consumers and sources are suffering from a high rate of distortions and even instabilities. Active power filters (APFs) are innovative ideas for solving of this adversity which have recently used instantaneous reactive power theory. In this paper, a novel method is proposed to optimize the allocation of APFs. The introduced method is based on the instantaneous reactive power theory in vectorial representation. By use of this representation, it is possible to asses different compensation strategies. Also, APFs proper placement in the system plays a crucial role in either reducing the losses costs and power quality improvement. To optimize the APFs placement, a new objective function has been defined on the basis of five terms: total losses, power factor, voltage profile, THD and cost. Genetic algorithm has been used to solve the optimization problem. The results of applying this method to a distribution network illustrate the method advantages.

optragen

Matlab toolbox for parsing optimal control problems into nonlinear programming problem.

orb

初始化

orlam2_android

a repository for ORB_ Android

orthogonal-collocation-with-contacts

Contact-implicit trajectory optimization using orthogonal collocation in GAMS: pendulum with hard stops and double-contact biped

oru_walk_module

Nao walking module

os4_fopd

OS4

oscillatory-motion-tracking-with-x-imu

ossian

Ossian generic framework

otfctrlmodrob

outage_scheduling

Includes code from PSCC'16 paper for planning, along with UCNN