The gap between theory and practice is in practice greater than in theory.
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Updated
Jul 11, 2023 - Julia
The gap between theory and practice is in practice greater than in theory.
Like reinforcement learning, but it works in practice
A small step for dynamics, a giant leap for SciML
Discrete-time PID controllers in Julia
Control barrier functions (CBFs) and control Lyapunov functions (CLFs) written in Julia.
Robust and optimal design and analysis of linear control systems
C-code generation and an interface between ControlSystems.jl and SymPy.jl
System Identification toolbox, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Arrays with arbitrarily nested named components.
A Control Systems Toolbox for Julia
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