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Code for density estimation
On the design of IIR filters
23 Design Patterns implemented by C++
Linear, Non Linear Systems, Bode, PID control, Feedback Control, Compensator, State Feedback Control, Digital to Analog Converter
Digital control and identification of a flexible bar plant. Synthesis of an optimal controller (LQR).
2D two-fluid Matlab code for divergent Magnetic Nozzles
The repository includes the description and implementation of the Direct Methods for Optimal Control.
A simulation tool that uses direct single shooting and direct multiple shooting state control systems.
This code accompanies the paper: Valk, L., Berry, A., and Vallery, H., "Directional Singularity Escape and Avoidance for Single-Gimbal Control Moment Gyroscopes," Journal of Guidance, Control, and Dynamics. DOI: 10.2514/1.G003132
companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"
In this note, disturbance rejection control (DRC) based on unknown input observation (UIO), and disturbance-observer based control (DOBC) methods are revisited for a class of MIMO systems with mismatch disturbance conditions. In both of these methods, the estimated disturbance is considered to be in the feedback channel. The disturbance term could represent either unknown mismatched signals penetrating the states, or unknown dynamics not captured in the modeling process, or physical parameter variations not accounted for in the mathematical model of the plant. Unlike the high-gain approaches and variable structure methods, a systematic synthesis of the state/disturbance observer-based controller is carried out. For this purpose, first, using a series of singular value decompositions, the linearized plant is transformed into disturbance-free and disturbance-dependent subsystems. Then, functional state reconstruction based on generalized detectability concept is proposed for the disturbance-free part. Then, a DRC based on quadratic stability theorem is employed to guarantee the performance of the closed-loop system. An important contribution offered in this article is the independence of the estimated disturbance from the control input which seem to be missing in the literature for disturbance decoupling problems. In the second method, DOBC is reconsidered with the aim of achieving a high level of robustness against modeling uncertainties and matched/mismatched disturbances, while at the same time retaining performance. Accordingly, unlike the first method, DRC, full information state observation is developed independent of the disturbance estimation. An advantage of such a combination is that disturbance estimation does not involve output derivatives. Finally, the case of systems with matched disturbances is presented as a corollary of the main results.
dll文件加解密和内存加载
A library to visualize (keplerian) orbital movements of a satellite network in 3D using OpenGL® 4.2.
Discrete-time Periodic Riccati Equation solver for periodic LQ state-feedback design
dual quaternion for 3d geometric operations
DRCF tracker
Project in DSP filtering out noise using IIR and FIR notch filters, ECE161B, University of California, San Diego
DSPBoot
various DSP algorithms - AM, FM, FFT, discrete convolution - overlap save/add methods, Hilbert Transform, DCT, KLT, adaptive filtering, FDAF.
A Collection of Useful C++ Classes for Digital Signal Processing
This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
A code for the numerical integration and visualization of a rotating rigid body under no external moments using a quaternion parameterization.
dynopt is a set of MATLAB functions for determination of optimal control trajectory by given description of the process, the cost to be minimised, subject to equality and inequality constraints, using orthogonal collocation on finite elements method.
Earth_orbit_v2.1
you know what it is
Final project for ECE 5555 Stochastic Control course on Satellite Attitude Estimation and Control via Linear Quadratic Gaussian (LQG) controller. Final report and all related codes are included.
A lightweight conic solver for second-order cone programming.
EE227BT: Convex Optimization Fall 2015 Project. Comparison of convex optimization techniques for infinite horizon control of systems with uncertainty
Generic and simple to use Matlab code for solving finite horizon discrete time optimal control problems with one continuous and one discrete control.
A C++ library that allows you to plot data just as in MATLAB
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.