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| R2011b Documentation → Control System Toolbox | |
Learn more about Control System Toolbox |
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| Contents | Index |
Constructing Discrete Time Systems
Adding Delays to Linear Models
MIMO Example: State-Space Model of Jet Transport Aircraft
Constructing MIMO Transfer Functions
Accessing I/O Pairs in MIMO Systems
Arithmetic Operations for Interconnecting Models
Available Methods for Continuous/Discrete Conversion
Digitizing the Discrete DC Motor Model
Techniques for Reducing Model Order
Example: Time and Frequency Responses of the DC Motor
Displaying Response Characteristics on a Plot
Showing Multiple Response Types
Opening the Linear Simulation Tool
Working with the Linear Simulation Tool
Example: Loading Inputs from a Microsoft Excel Spreadsheet
Example: Importing Inputs from the Workspace
Time and Frequency Response Functions
Plotting and Comparing Multiple Systems
Designing PID Controllers at the Command Line
Design Options in the SISO Tool
Using the SISO Design Task Node in the Control and Estimation Tools Manager
Importing Models into the SISO Design Tool
Analysis Plots for Loop Responses
Using the Graphical Tuning Window
Exporting the Compensator and Models
Storing and Retrieving Intermediate Designs
Adjusting the Compensator Gain
Moving Compensator Poles and Zeros
Example: Electrohydraulic Servomechanism
Adding Poles and Zeros to the Compensator
Editing Compensator Pole and Zero Locations
Adjusting the Compensator Gain
Loading and Displaying the DC Motor Example for Automated Tuning
Workflow for Multi-Loop Compensator Design
Example: Position Control of a DC Motor
Control Design Analysis Using the SISO Design Tool
Frequency Grid for Multimodel Computations
How to Analyze the Controller Design for Multiple Models
Linear-Quadratic-Gaussian (LQG) Design
Example - Designing an LQG Regulator
• Blocks
rss(n)
rss(n,p)
rss(n,p,m,s1,...,sn)
rss(n) generates an n-th order model with one input and one output and returns the model in the state-space object sys. The poles of sys are random and stable with the possible exception of poles at s = 0 (integrators).
rss(n,p) generates an nth order model with one input and p outputs, and rss(n,p,m) generates an n-th order model with m inputs and p outputs. The output sys is always a state-space model.
rss(n,p,m,s1,...,sn) generates an s1-by-...-by-sn array of n-th order state-space models with m inputs and p outputs.
Use tf, frd, or zpk to convert the state-space object sys to transfer function, frequency response, or zero-pole-gain form.
Obtain a random continuous LTI model with three states, two inputs, and two outputs by typing
Store 
sys = rss(3,2,2)
a =
x1 x2 x3
x1 -0.54175 0.09729 0.08304
x2 0.09729 -0.89491 0.58707
x3 0.08304 0.58707 -1.95271
b =
u1 u2
x1 -0.88844 -2.41459
x2 0 -0.69435
x3 -0.07162 -1.39139
c =
x1 x2 x3
y1 0.32965 0.14718 0
y2 0.59854 -0.10144 0.02805
d =
u1 u2
y1 -0.87631 -0.32758
y2 0 0
Continuous-time system.
Learn more about resources for designing, testing, and implementing control systems.
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