Pages without language links
Jump to navigation
Jump to search
The following pages do not link to other language versions.
Showing below up to 50 results in range #1 to #50.
View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)
- 12 Mar 2023: A new version of the Optimization-Based Control (OBC) supplement is now complete and posted
- 16 Nov 2024: Python figure sources updated for python-control v0.10.1
- 24 Jul 2020: Copyedited version of FBS2e now available for download
- 28 Aug 2021: Links to first edition supplemental information added to chapter pages
- 30 Oct 2020: Notes on Linear Systems Theory updated (release 0.2.2)
- Admin
- Architecture and System Design
- Bibliography
- Bicycle dynamics
- Biomolecular Feedback Systems
- Congestion control
- Cruise control
- Domitilla Del Vecchio
- Dynamic Behavior
- Errata: 'a' in equation (14.13) should be 's'
- Errata: C matrix in Example 8.7 (vectored thrust aircraft) is incorrect
- Errata: Example 8.10 missing factor of v, a1 and a2 flipped
- Errata: feedforward term in control law for Example 7.5 is missing Le term
- Errata: sign errors in Example 5.18 (noise cancellation)
- Examples
- Exercise: Exploring the dynamics of a rolling mill
- Exercise: Popular articles about control
- FBS release 3.1.5
- Fbs.py
- Feedback Principles
- Feedback Systems: An Introduction for Scientists and Engineers
- Figure 1.11: A feedback system for controlling the velocity of a vehicle
- Figure 1.18: Air–fuel controller based on selectors
- 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
- Figure 2.14: Responses of the systems with integral feedback
- Figure 2.19: System with positive feedback and saturation
- 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
- 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
- Figure 3.22: Queuing dynamics
- Figure 3.24: Consensus protocols for sensor networks
- Figure 3.26: The repressilator genetic regulatory network
- Figure 3.28: Response of a neuron to a current input
- Figure 3.2: Illustration of a state model
- Figure 3.4: Input/output response of a linear system
- Figure 3.8: Discrete-time simulation of the predator–prey model
- Figure 4.12: Internet congestion control
- Figure 4.13: Internet congestion control for N identical sources across a single link
- Figure 4.20: Simulation of the predator-prey system
- Figure 4.2: Torque curves for typical car engine
- Figure 4.3: Car with cruise control encountering a sloping road
- 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