@@ -8,27 +8,33 @@ The `control-toolbox` is a Python Library for implementing and simulating variou
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99## Current Supported Functionality:
1010
11- - System modeling with Transfer Functions and State Space models.
12- - Time Domain Response of System with the following input signals: Impulse, Step, Ramp.
13- - System conversion, State Space model to Transfer Function
14- - Block diagram algebra: Series and Paralel.
15- - Stability analysis of the system.
16- - Root Locus Plot of the system.
17- - Frequency Response, Bode plot.
18- - Parameterization of systems.
19- - Pole-Zero Plot of systems.
11+ - System modeling with Transfer Functions and State Space Representations.
12+ - Time Domain Response.
13+ - Frequency Response.
14+ - System Representation conversion: State Space model to Transfer Function and vice versa.
15+ - Block diagram algebra: Series and Parallel.
16+ - Stability Analysis.
17+ - Root Locus.
18+ - Bode Plot.
19+ - Parameterization of System.
20+ - Pole-Zero / Eigenvalue plot of systems.
2021- Feedback analysis.
2122- PID control.
22- - Observability, Controllability.
23+ - Observability and Controllability.
24+ - Full State Feedback
25+ - Full State Observer
26+ - Linear Quadratic Regulator(LQR)
27+ - Linear Quadratic Estimator(LQE) / Kalman Filter
2328
2429## Future Updates:
25- - Linear Quadratic Regulator.
26- - Kalman Filter.
30+ - Linear Quadratic Gaussian Control.
31+ - Extended Kalman Filter.
32+ - Unscented Kalman filter.
33+ - Model Predictive Control.
2734
2835## Project Links
2936Project Homepage: http://control-toolbox.rtfd.io/
3037Documentation: [ https://control-toolbox.readthedocs.io/ ] ( https://control-toolbox.readthedocs.io/ )
31- Source Code: [ https://github.com/rushad7/control-toolbox ] ( https://github.com/rushad7/control-toolbox )
3238
3339## Installation
3440### Pip
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