Property:GitHub URL
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<p>The <a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Property_page/Filter">search filter</a> allows the inclusion of <a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Query_expressions">query expressions</a> such as <code>~</code> or <code>!</code>. The selected <a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Query_engine">query engine</a> might also support case insensitive matching or other short expressions like:</p><ul><li><code>in:</code> result should include the term, e.g. '<code>in:Foo</code>'</li></ul><ul><li><code>not:</code> result should to not include the term, e.g. '<code>not:Bar</code>'</li></ul>
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Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.11-2dof stepresp.py
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Figure 2.12: Responses of a static nonlinear system
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.12,14-static nlsys.py
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Figure 2.14: Responses of the systems with integral feedback
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.12,14-static nlsys.py
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Figure 2.19: System with positive feedback and saturation
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.19-posfbk saturation.py
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Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.8-PI step responses.py
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Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.9-secord stepresp.py
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Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.11-spring mass simulation.py
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Figure 3.12: Frequency response computed by measuring the response of individual sinusoids
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.12-frequency response.py
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Figure 3.2: Illustration of a state model
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.2-state model.py
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Figure 3.4: Input/output response of a linear system
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.4-io response.py
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Figure 4.12: Internet congestion control
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.12-congctrl eqplot.py
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Figure 4.13: Internet congestion control for N identical sources across a single link
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.13-congctrl tcpsim.py
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Figure 4.20: Simulation of the predator-prey system
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.20-predprey ctstime.py
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Figure 5.6: Illustration of Lyapunov’s concept of a stable solution
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5-6-lyapunov stability.py
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Figure 5.1: Response of a damped oscillator
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.1-damposc response.py
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Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.10-congctrl dynamics.py
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Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.11-invpend linearized.py
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Figure 5.3: Phase portraits
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.3-phase portraits.py
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Figure 5.4: Equilibrium points for an inverted pendulum
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.4-invpend phaseplot.py
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Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle
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https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.5-limit cycle.py
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