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A systematic approach of controller parameter optimization is detailed.
This approach of controller design is guaranteeing stability, robustness and high performance.
It employs the approach of controller unfalsification, where it is recursively checked which controllers would have met the predefined performance requirement without the need to actually implement them.
In this paper a new PID controller design method based on the direct synthesis (DS) approach of controller design in frequency domain is presented.
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For flexibility in controller synthesis, we adopt the approach of fixedstructure controller design which allows consideration of arbitrary controller structures, including order, internal structure, and decentralization.
In a theory of smart institutions, on the contrary, the role of feedback is intrinsic and has implications on both the approach of the controller (the control algorithm) as well as the outcomes it generates over time.
The on-line optimised fuzzy controller is shown to be robust, possessing excellent steady-state and dynamic characteristics, demonstrating the performance possibilities of this type of approach to controller design.
The presented specific solution to the joint box pushing example has its own merits, however the paper focuses on the general aspects of formal approach to controller design of multi-robot systems.
This approach of designing controllers, whose gain matrix depends on the online available information of the body mass, is based on a parameter-dependent Lyapunov function.
This paper proposes a genuine nonlinear approach for controller design of a drum-type boiler turbine system.
In the second paper, these tools will be used to design Minimal Structure controllers for two real-life systems to show the powerful nature of this approach to controller design.
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