Exact(4)
This chapter demonstrates how a controller can be designed to attain control system goals once the plant has been chosen and the system specified.
According to Theorem 2, a controller can be obtained by solving the matrix inequality (13).
Based on Lyapunov stability theory a controller can be designed for achieving the FSHPS of hyperchaotic systems.
This result further shows that even for such discrete-valued input systems, a controller can be easily designed by the existing tools for the linear system design such as robust control theory.
Similar(56)
In this case, an output value of a given controller can be an uncontrollable input for another one.
Unlike earlier studies of fuzzy control systems on an LMI framework, this investigation develops a supervisory control approach, such that a fuzzy controller can be synthesized more efficiently.
A final controller can be tuned by a suitable choice of a scalar real parameter.
Given a set of design objectives, a suitable controller can be designed.
A robust controller can be readily designed as a result of the identification.
All processes have some basic characteristics in common, and the job of designing a suitable controller can be made to follow a well-proven and consistent path.
"For a pre-schooler having to deal with a physical controller can be very challenging.
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