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Showing below up to 50 results in range #1 to #50.
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- (hist) Cruise control [37,378 bytes]
- (hist) Preface [14,279 bytes]
- (hist) Dynamic Behavior [7,205 bytes]
- (hist) Figure 8.13: Vehicle steering using gain scheduling [6,583 bytes]
- (hist) Linear Systems [6,058 bytes]
- (hist) Feedback Systems: An Introduction for Scientists and Engineers [5,378 bytes]
- (hist) Output Feedback [5,348 bytes]
- (hist) State Feedback [5,288 bytes]
- (hist) Figure 3.26: The repressilator genetic regulatory network [5,157 bytes]
- (hist) Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control [5,086 bytes]
- (hist) Figure 2.19: System with positive feedback and saturation [4,898 bytes]
- (hist) System Modeling [4,663 bytes]
- (hist) Figure 3.12: Frequency response computed by measuring the response of individual sinusoids [4,329 bytes]
- (hist) Introduction [4,204 bytes]
- (hist) Figure 1.18: Air–fuel controller based on selectors [3,872 bytes]
- (hist) Figure 4.20: Simulation of the predator-prey system [3,772 bytes]
- (hist) Supplement: Optimization-Based Control [3,665 bytes]
- (hist) Figure 2.14: Responses of the systems with integral feedback [3,661 bytes]
- (hist) Figure 3.22: Queuing dynamics [3,440 bytes]
- (hist) Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants [3,330 bytes]
- (hist) Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters [3,218 bytes]
- (hist) Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control [3,197 bytes]
- (hist) Figure 1.11: A feedback system for controlling the velocity of a vehicle [3,185 bytes]
- (hist) Figure 3.2: Illustration of a state model [3,118 bytes]
- (hist) Figure 4.13: Internet congestion control for N identical sources across a single link [3,104 bytes]
- (hist) Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom [3,006 bytes]
- (hist) Figure 2.12: Responses of a static nonlinear system [2,966 bytes]
- (hist) Software [2,940 bytes]
- (hist) Biomolecular Feedback Systems [2,836 bytes]
- (hist) Figure 6.5: Modes for a second-order system with real eigenvalues [2,772 bytes]
- (hist) Exercise: Exploring the dynamics of a rolling mill [2,755 bytes]
- (hist) Figure 3.4: Input/output response of a linear system [2,462 bytes]
- (hist) Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers [2,401 bytes]
- (hist) Figure 3.28: Response of a neuron to a current input [2,319 bytes]
- (hist) Figure 3.8: Discrete-time simulation of the predator–prey model [2,317 bytes]
- (hist) Figure 6.1: Superposition of homogeneous and particular solutions [2,249 bytes]
- (hist) Figure 3.24: Consensus protocols for sensor networks [2,126 bytes]
- (hist) Supplement: Linear Systems Theory [2,095 bytes]
- (hist) Admin [2,061 bytes]
- (hist) Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle [2,024 bytes]
- (hist) Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point [2,003 bytes]
- (hist) Errata: Example 8.10 missing factor of v, a1 and a2 flipped [2,002 bytes]
- (hist) Bibliography [1,980 bytes]
- (hist) Question: What is a state? How does one determine what is a state and what is not? [1,935 bytes]
- (hist) Question: What is the advantage of having a model? [1,898 bytes]
- (hist) Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point [1,833 bytes]
- (hist) Figure 4.12: Internet congestion control [1,774 bytes]
- (hist) Feedback Principles [1,752 bytes]
- (hist) Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point [1,732 bytes]
- (hist) Karl J. Åström [1,725 bytes]