Property:GitHub URL

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Figure 3.22: Queuing dynamics +
https://github.com/murrayrm/fbs2e-python/blob/main/example-3.15-queuing systems.py  +
Figure 3.24: Consensus protocols for sensor networks +
https://github.com/murrayrm/fbs2e-python/blob/main/example-3.17-consensus.py  +
Figure 3.26: The repressilator genetic regulatory network +
https://github.com/murrayrm/fbs2e-python/blob/main/example-3.18-repressilator.py  +
Figure 3.28: Response of a neuron to a current input +
https://github.com/murrayrm/fbs2e-python/blob/main/example-3.19-fitzhugh nagumo.py  +
Figure 3.8: Discrete-time simulation of the predator–prey model +
https://github.com/murrayrm/fbs2e-python/blob/main/example-3.4-predator prey.py  +
Figure 8.13: Vehicle steering using gain scheduling +
https://github.com/murrayrm/fbs2e-python/blob/main/example-8.10-steering gainsched.py  +
Figure 1.11: A feedback system for controlling the velocity of a vehicle +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-1.11-cruise robustness.py  +
Figure 1.18: Air–fuel controller based on selectors +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-1.18-airfuel selectors.py  +
Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.11-2dof stepresp.py  +
Figure 2.12: Responses of a static nonlinear system +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.12,14-static nlsys.py  +
Figure 2.14: Responses of the systems with integral feedback +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.12,14-static nlsys.py  +
Figure 2.19: System with positive feedback and saturation +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.19-posfbk saturation.py  +
Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.8-PI step responses.py  +
Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-2.9-secord stepresp.py  +
Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.11-spring mass simulation.py  +
Figure 3.12: Frequency response computed by measuring the response of individual sinusoids +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.12-frequency response.py  +
Figure 3.2: Illustration of a state model +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.2-state model.py  +
Figure 3.4: Input/output response of a linear system +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-3.4-io response.py  +
Figure 4.12: Internet congestion control +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.12-congctrl eqplot.py  +
Figure 4.13: Internet congestion control for N identical sources across a single link +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.13-congctrl tcpsim.py  +
Figure 4.20: Simulation of the predator-prey system +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-4.20-predprey ctstime.py  +
Figure 5.6: Illustration of Lyapunov’s concept of a stable solution +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5-6-lyapunov stability.py  +
Figure 5.1: Response of a damped oscillator +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.1-damposc response.py  +
Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.10-congctrl dynamics.py  +
Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.11-invpend linearized.py  +
Figure 5.3: Phase portraits +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.3-phase portraits.py  +
Figure 5.4: Equilibrium points for an inverted pendulum +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.4-invpend phaseplot.py  +
Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.5-limit cycle.py  +
Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.7-stable-eqpt.py  +
Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.8-asystable-eqpt.py  +
Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-5.9-unstable-eqpt.py  +
Figure 6.1: Superposition of homogeneous and particular solutions +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-6.1-superposition.py  +
Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-6.14-cruise linearized.py  +
Figure 6.5: Modes for a second-order system with real eigenvalues +
https://github.com/murrayrm/fbs2e-python/blob/main/figure-6.5-springmass modes.py  +
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