422 skills found · Page 1 of 15
simbody / SimbodyHigh-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
diwi / PixelFlowA Processing/Java library for high performance GPU-Computing (GLSL). Fluid Simulation + SoftBody Dynamics + Optical Flow + Rendering + Image Processing + Particle Systems + Physics +...
DeepWism / DeepWism R2DeepWism R2 is a next-generation AGI system built on the T3CEDS framework (Thin-Thick-Thin Crowd Entropy Dynamics System), which redefines intelligence as a process of entropy reduction rather than attention modeling.
Xiangyu-Hu / SPHinXsysSPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.
SDXorg / PysdSystem Dynamics Modeling in Python
highperformancecoder / MinskyA systems dynamics economics modeling software
CURENT / AndesPython toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
jlizier / JidtJIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
CGNS / CGNSThe CFD General Notation System (CGNS) provides a standard for recording and recovering computer data associated with the numerical solution of fluid dynamics equations. All development work and bug fixes should be based off the 'develop' branch, CGNS uses the branching model Gitflow.
jgerstmayr / EXUDYNMultibody Dynamics Simulation: Rigid and flexible multibody systems
jrl-umi3218 / RBDynRBDyn provides a set of classes and functions to model the dynamics of rigid body systems.
seanmcne / Microsoft.Xrm.Data.PowerShellThis module uses the CRM connection from Microsoft.Xrm.Tooling.CrmConnector.Powershell and provides common functions to create, delete, query, and update data as well as functions for common tasks such as publishing, and manipulating System & CRM User Settings, etc. The module should function for both Dynamics CRM Online and On-Premise environment.
memoakten / OfxMSAFluidC++ openFrameworks addon for solving and drawing 2D fluid systems based on Navier-Stokes equations and Jos Stam's paper "Real-Time Fluid Dynamics for Games"
wanxinjin / Pontryagin Differentiable ProgrammingA unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Fault-lang / Faulta language for building system dynamic models
GuidodiPasquo / AeroVECTORModel Rocket Simulator oriented to the design and tuning of active control systems, be them in the form of TVC, Active Fin Control or just parachute deployment algorithms on passively stable rockets. It is able to simulate non-linear actuator dynamics and has some limited Software in the Loop capabilities. The program computes all the subsonic aerodynamic parameters of interest and integrates the 3DOF Equations of Motion to simulate the complete flight.
jrgenerative / Fixed Wing SimMatlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.
douthwja01 / OpenMASOpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
lamfur07 / Flight Dynamics And Control UAVsUnderstanding of flight control systems, including dynamic models for UAVs, low level autopilot design, trajectory following, and path planning. The essential physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning will be explored. Rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. Files include simulation projects using the MATLAB/Simulink environment. Projects start from modeling rigid-body dynamics, then add aerodynamics and sensor models. Furthermore, low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms.
Jonas-Nicodemus / PINNs Based MPCWe discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable control actions or variable initial values. We thus present the idea of enhancing PINNs by adding control actions and initial conditions as additional network inputs. The high-dimensional input space is subsequently reduced via a sampling strategy and a zero-hold assumption. This strategy enables the controller design based on a PINN as an approximation of the underlying system dynamics. The additional benefit is that the sensitivities are easily computed via automatic differentiation, thus leading to efficient gradient-based algorithms. Finally, we present our results using our PINN-based MPC to solve a tracking problem for a complex mechanical system, a multi-link manipulator.
