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README.md

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@@ -8,27 +8,33 @@ The `control-toolbox` is a Python Library for implementing and simulating variou
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## Current Supported Functionality:
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- System modeling with Transfer Functions and State Space models.
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- Time Domain Response of System with the following input signals: Impulse, Step, Ramp.
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- System conversion, State Space model to Transfer Function
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- Block diagram algebra: Series and Paralel.
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- Stability analysis of the system.
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- Root Locus Plot of the system.
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- Frequency Response, Bode plot.
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- Parameterization of systems.
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- Pole-Zero Plot of systems.
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- System modeling with Transfer Functions and State Space Representations.
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- Time Domain Response.
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- Frequency Response.
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- System Representation conversion: State Space model to Transfer Function and vice versa.
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- Block diagram algebra: Series and Parallel.
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- Stability Analysis.
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- Root Locus.
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- Bode Plot.
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- Parameterization of System.
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- Pole-Zero / Eigenvalue plot of systems.
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- Feedback analysis.
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- PID control.
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- Observability, Controllability.
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- Observability and Controllability.
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- Full State Feedback
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- Full State Observer
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- Linear Quadratic Regulator(LQR)
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- Linear Quadratic Estimator(LQE) / Kalman Filter
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## Future Updates:
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- Linear Quadratic Regulator.
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- Kalman Filter.
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- Linear Quadratic Gaussian Control.
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- Extended Kalman Filter.
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- Unscented Kalman filter.
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- Model Predictive Control.
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## Project Links
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Project Homepage: http://control-toolbox.rtfd.io/
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Documentation: [https://control-toolbox.readthedocs.io/](https://control-toolbox.readthedocs.io/)
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Source Code: [https://github.com/rushad7/control-toolbox](https://github.com/rushad7/control-toolbox)
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## Installation
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### Pip

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