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What Is SimMechanics?
SimMechanics is a block diagram modeling environment for the engineering design and simulation
of rigid body machines and their motions, using the standard Newtonian
dynamics of forces and torques.
With SimMechanics,
you can model and simulate mechanical systems with a suite of tools to
specify bodies and their mass properties, their possible motions, kinematic constraints, and coordinate systems, and to
initiate and measure body motions. You represent a mechanical system by a
connected block diagram, like other Simulink
models, and you can incorporate hierarchical subsystems.
The visualization tools of SimMechanics display and animate simplified renderings of
3-D machines, before and during simulation, using the MATLAB Graphics system.
SimMechanics and Physical Modeling
SimMechanics is based on Simscape, the platform product for the Simulink physical modeling family, encompassing the
modeling and design of systems according to basic physical principles. Simscape runs within the Simulink
environment and interfaces seamlessly with the rest of Simulink
and with MATLAB. Unlike other Simulink blocks,
which represent mathematical operations or operate on signals, Simscape blocks represent physical components or
relationships directly.
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What Is Fuzzy Logic
Toolbox?
Fuzzy Logic Toolbox Description
Fuzzy Logic Toolbox is a collection of
functions built on the MATLAB® numeric computing environment. It
provides tools for you to create and edit fuzzy inference systems within the framework
of MATLAB, or if you prefer, you can integrate your fuzzy systems into
simulations with Simulink®. You can even
build stand-alone C programs that call on fuzzy systems you build with
MATLAB. This toolbox relies heavily on graphical user interface (GUI) tools
to help you accomplish your work, although you can work entirely from the
command line if you prefer.
The toolbox provides three categories of
tools:
- Command line functions
- Graphical interactive
tools
- Simulink blocks and
examples
(Ebook)
Using Simulink And Stateflow
In Automotive Applicationsl
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MATLAB® has a rich collection of
functions immediately useful to the control engineer or system theorist.
Complex arithmetic, eigenvalues, root-finding,
matrix inversion, and fast Fourier transforms are just a few examples of
important numerical tools found in MATLAB. More generally, the MATLAB linear
algebra, matrix computation, and numerical analysis capabilities provide a
reliable foundation for control system engineering as well as many other
disciplines.
Control System Toolbox builds on the
foundations of MATLAB to provide functions designed for control engineering.
Control System Toolbox is a collection of algorithms, written mostly as
M-files, that implements common control system design, analysis, and modeling
techniques. Convenient graphical user interfaces (GUIs) simplify typical
control engineering tasks.
Control systems can be modeled as transfer functions,
in zero-pole-gain or state-space form, allowing you to use both classical and
modern control techniques. You can manipulate both continuous-time and
discrete-time systems. Conversions between various model representations are
provided. Time responses, frequency responses, and root loci can be computed
and graphed. Other functions allow pole placement, optimal control, and
estimation. Finally, Control System Toolbox is open and extensible. You can
create custom M-files to suit your particular application.
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