A Control Systems Toolbox for Julia
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Updated
Jun 24, 2024 - Julia
A Control Systems Toolbox for Julia
Arrays with arbitrarily nested named components.
System Identification toolbox, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Robust and optimal design and analysis of linear control systems
C-code generation and an interface between ControlSystems.jl and SymPy.jl
Discrete-time PID controllers in Julia
A small step for dynamics, a giant leap for SciML
Control barrier functions (CBFs) and control Lyapunov functions (CLFs) written in Julia.
Like reinforcement learning, but it works in practice
The gap between theory and practice is in practice greater than in theory.
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