wuyou33 Goto Github PK

mpc_local_planner

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

mpc_quadrotor

mpc_toolbox

MATLAB Toolbox for Model Predictive Control

mpl_ros

mppt_buck_converter_synchronous

See video:

mpsee-toolbox

MPsee toolbox is an automatic MATLAB tool for building Nonlinear Model Predictive Controllers

mpso

Motion-Encoded Particle Swarm Optimization Algorithm

mpt

Motion Planning Templates creates fast, parallel, robot-specific motion planners.

mrca-mav

Collision avoidance for mavs in dynamic environments using model predictive control

mrcf-tracker

Code of MRCF-Tracker v1.0 (Matlab Version for Discussion)

mrotor-sfaults-control

Fault diagnosis and control for multirotors with sensor faults under ground effect

mrs_uav_controllers

Tracking controllers for UAVs in ROS, part of the "uav_core" package.

mrs_uav_odometry

UAV sensor fusion in ROS, part of the "uav_core" package.

mrs_uav_system

The entry point to the MRS UAV system.

mrtrajreplan-dars2018

msc-thesis

msckf-swf-comparison

MATLAB code and data for our CRV 2015 paper

mspm

msppy

msr_moga

Multi-objective genetic-algorithm based path planning program for modular self-reconfigurable robots

msr_waypoint_navigation

MATLAB modular self reconfigurable robots path planning program

mss

Marine Systems Simulator (MSS)

mstc-star

code with ICRA'21 paper - (MSTC*: Multi-robot Coverage Path Planning under physical constraints)

mt_rrt

General purpose library for multithreaded Rapidly Random exploring Trees

mta

Python implémentation of "Faster and More Accurate Trace-based Policy Evaluation via Overall Target Error Meta-Optimization"

mtga

Matlab source code of the paper "D. Wu and X. Tan, Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization, IEEE Trans. on Fuzzy Systems, 28(6), pp. 1050-1061, 2020."

mtseckill

京东茅台抢购

multi-agent-adaptive-estimation-and-coverage-control-using-gaussian-regression

multi-agent-path-finding-in-warehouse

Robotic Order Fulfillment System Using Kiva-like mobile robots. Conflict-based Search multi-robot path planning.

multi-objective-optimization-of-distributed-energy-systems-under-grid-faults

Recently, riding through grid faults and supporting the grid voltage by using grid-connected converters (GCCs) have become major requirements reflected in the grid codes. This paper presents a novel reference current generation scheme with the ability to support the grid voltage by injecting a proper set of positive/negative active/reactive currents by using four controlling parameters. Analytical expressions are proposed to obtain the optimal values of these parameters under any grid voltage condition. The optimal performances can be obtained by achieving the following objectives: first, compliance with the phase voltage limits, second, maximized active and reactive power delivery, third, minimized fault currents, and fourth reduced oscillations on the active and reactive powers. These optimal behaviors bring significant advantages to emerging GCCs, such as increasing the efficiency, lowering the dc-link ripples, improving ac system stability, and avoiding equipment tripping. Simulation and experimental results verify the analytical results and the proposed expressions.