]> 2026-04-24T23:09:45+00:00 Figures 14 en 2021-06-24T04:50:35Z 2459389.701794 Figures Figure 1.11: A feedback system for controlling the velocity of a vehicle 0 en Figure 1.11: A feedback system for controlling the velocity of a vehicle Figure 1.18: Air–fuel controller based on selectors 0 en Figure 1.18: Air–fuel controller based on selectors Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control 0 en Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters 0 en Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters Figure 3.2: Illustration of a state model 0 en Figure 3.2: Illustration of a state model Figure 3.4: Input/output response of a linear system 0 en Figure 3.4: Input/output response of a linear system Figure 3.8: Discrete-time simulation of the predator–prey model 0 en Figure 3.8: Discrete-time simulation of the predator–prey model Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants 0 en Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants Figure 3.12: Frequency response computed by measuring the response of individual sinusoids 0 en Figure 3.12: Frequency response computed by measuring the response of individual sinusoids Figure 3.22: Queuing dynamics 0 en Figure 3.22: Queuing dynamics Figure 3.24: Consensus protocols for sensor networks 0 en Figure 3.24: Consensus protocols for sensor networks Figure 3.26: The repressilator genetic regulatory network 0 en Figure 3.26: The repressilator genetic regulatory network Figure 3.28: Response of a neuron to a current input 0 en Figure 3.28: Response of a neuron to a current input Figure 8.13: Vehicle steering using gain scheduling 0 en Figure 8.13: Vehicle steering using gain scheduling Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom 0 en Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom Figure 2.12: Responses of a static nonlinear system 0 en Figure 2.12: Responses of a static nonlinear system Figure 2.14: Responses of the systems with integral feedback 0 en Figure 2.14: Responses of the systems with integral feedback Figure 2.19: System with positive feedback and saturation 0 en Figure 2.19: System with positive feedback and saturation Figure 4.2: Torque curves for typical car engine 0 en Figure 4.2: Torque curves for typical car engine Figure 4.3: Car with cruise control encountering a sloping road 0 en Figure 4.3: Car with cruise control encountering a sloping road Figure 4.12: Internet congestion control 0 en Figure 4.12: Internet congestion control Figure 4.13: Internet congestion control for N identical sources across a single link 0 en Figure 4.13: Internet congestion control for N identical sources across a single link Figure 4.20: Simulation of the predator-prey system 0 en Figure 4.20: Simulation of the predator-prey system Figure 5.1: Response of a damped oscillator 0 en Figure 5.1: Response of a damped oscillator Figure 5.3: Phase portraits 0 en Figure 5.3: Phase portraits Figure 5.4: Equilibrium points for an inverted pendulum 0 en Figure 5.4: Equilibrium points for an inverted pendulum Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle 0 en Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle Figure 5.6: Illustration of Lyapunov’s concept of a stable solution 0 en Figure 5.6: Illustration of Lyapunov’s concept of a stable solution Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point 0 en Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point 0 en Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point 0 en Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers 0 en Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization 0 en Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization Figure 6.1: Superposition of homogeneous and particular solutions 0 en Figure 6.1: Superposition of homogeneous and particular solutions Figure 6.5: Modes for a second-order system with real eigenvalues 0 en Figure 6.5: Modes for a second-order system with real eigenvalues Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control 0 en Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control Figure 5.12: Stability analysis for a tanker 0 en Figure 5.12: Stability analysis for a tanker Figure 5.13: Solution curves for a stable limit cycle 0 en Figure 5.13: Solution curves for a stable limit cycle Figure 5.15: Stability of a genetic switch 0 en Figure 5.15: Stability of a genetic switch Figure 5.16: Dynamics of a genetic switch 0 en Figure 5.16: Dynamics of a genetic switch Figure 5.17: Stabilized inverted pendulum 0 en Figure 5.17: Stabilized inverted pendulum Figure 5.18: Bifurcation analysis of the predator–prey system 0 en Figure 5.18: Bifurcation analysis of the predator–prey system Figure 5.19: Stability plots for a bicycle moving at constant velocity 0 en Figure 5.19: Stability plots for a bicycle moving at constant velocity Figure 5.21: Simulation of noise cancellation 0 en Figure 5.21: Simulation of noise cancellation Figure 6.10: Response of a compartment model to a constant drug infusion 0 en Figure 6.10: Response of a compartment model to a constant drug infusion Figure 6.12: Active band-pass filter 0 en Figure 6.12: Active band-pass filter Figure 6.13: AFM frequency response 0 en Figure 6.13: AFM frequency response Figure 7.6: State feedback control of a steering system 0 en Figure 7.6: State feedback control of a steering system Figure 7.7: Simulation results for the controlled predator–prey system 0 en Figure 7.7: Simulation results for the controlled predator–prey system Figure 1.11: A feedback system for controlling the velocity of a vehicle 0 en Figure 1.11: A feedback system for controlling the velocity of a vehicle Figure 1.18: Air–fuel controller based on selectors 0 en Figure 1.18: Air–fuel controller based on selectors Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control 0 en Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters 0 en Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters Figure 3.2: Illustration of a state model 0 en Figure 3.2: Illustration of a state model Figure 3.4: Input/output response of a linear system 0 en Figure 3.4: Input/output response of a linear system Figure 3.8: Discrete-time simulation of the predator–prey model 0 en Figure 3.8: Discrete-time simulation of the predator–prey model Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants 0 en Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants Figure 3.12: Frequency response computed by measuring the response of individual sinusoids 0 en Figure 3.12: Frequency response computed by measuring the response of individual sinusoids Figure 3.22: Queuing dynamics 0 en Figure 3.22: Queuing dynamics Figure 3.24: Consensus protocols for sensor networks 0 en Figure 3.24: Consensus protocols for sensor networks Figure 3.26: The repressilator genetic regulatory network 0 en Figure 3.26: The repressilator genetic regulatory network Figure 3.28: Response of a neuron to a current input 0 en Figure 3.28: Response of a neuron to a current input Figure 8.13: Vehicle steering using gain scheduling 0 en Figure 8.13: Vehicle steering using gain scheduling Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom 0 en Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom Figure 2.12: Responses of a static nonlinear system 0 en Figure 2.12: Responses of a static nonlinear system Figure 2.14: Responses of the systems with integral feedback 0 en Figure 2.14: Responses of the systems with integral feedback Figure 2.19: System with positive feedback and saturation 0 en Figure 2.19: System with positive feedback and saturation Figure 4.2: Torque curves for typical car engine 0 en Figure 4.2: Torque curves for typical car engine Figure 4.3: Car with cruise control encountering a sloping road 0 en Figure 4.3: Car with cruise control encountering a sloping road Figure 4.12: Internet congestion control 0 en Figure 4.12: Internet congestion control Figure 4.13: Internet congestion control for N identical sources across a single link 0 en Figure 4.13: Internet congestion control for N identical sources across a single link Figure 4.20: Simulation of the predator-prey system 0 en Figure 4.20: Simulation of the predator-prey system Figure 5.1: Response of a damped oscillator 0 en Figure 5.1: Response of a damped oscillator Figure 5.3: Phase portraits 0 en Figure 5.3: Phase portraits Figure 5.4: Equilibrium points for an inverted pendulum 0 en Figure 5.4: Equilibrium points for an inverted pendulum Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle 0 en Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle Figure 5.6: Illustration of Lyapunov’s concept of a stable solution 0 en Figure 5.6: Illustration of Lyapunov’s concept of a stable solution Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point 0 en Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point 0 en Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point 0 en Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers 0 en Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization 0 en Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization Figure 6.1: Superposition of homogeneous and particular solutions 0 en Figure 6.1: Superposition of homogeneous and particular solutions Figure 6.5: Modes for a second-order system with real eigenvalues 0 en Figure 6.5: Modes for a second-order system with real eigenvalues Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control 0 en Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control Figure 5.12: Stability analysis for a tanker 0 en Figure 5.12: Stability analysis for a tanker Figure 5.13: Solution curves for a stable limit cycle 0 en Figure 5.13: Solution curves for a stable limit cycle Figure 5.15: Stability of a genetic switch 0 en Figure 5.15: Stability of a genetic switch Figure 5.16: Dynamics of a genetic switch 0 en Figure 5.16: Dynamics of a genetic switch Figure 5.17: Stabilized inverted pendulum 0 en Figure 5.17: Stabilized inverted pendulum Figure 5.18: Bifurcation analysis of the predator–prey system 0 en Figure 5.18: Bifurcation analysis of the predator–prey system Figure 5.19: Stability plots for a bicycle moving at constant velocity 0 en Figure 5.19: Stability plots for a bicycle moving at constant velocity Figure 5.21: Simulation of noise cancellation 0 en Figure 5.21: Simulation of noise cancellation Figure 6.10: Response of a compartment model to a constant drug infusion 0 en Figure 6.10: Response of a compartment model to a constant drug infusion Figure 6.12: Active band-pass filter 0 en Figure 6.12: Active band-pass filter Figure 6.13: AFM frequency response 0 en Figure 6.13: AFM frequency response Figure 7.6: State feedback control of a steering system 0 en Figure 7.6: State feedback control of a steering system Figure 7.7: Simulation results for the controlled predator–prey system 0 en Figure 7.7: Simulation results for the controlled predator–prey system INST 102 en INST