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So, temperature control by a robust neural fuzzy Petri net (RNFPN) controller based on an indirect forward control structure is proposed in this paper.
For this intention, a controller based on an adaptive network-based fuzzy inference system seems to be the most excellent and valuable preference.
To compensate this hysteresis problem, a feedforward controller based on an evolution algorithm is proposed.
This paper presents a systematic procedure to compute the gains of sliding mode controller based on an optimization scheme.
This paper proposes and investigates a heterogeneous hardware implementation of an NMPC controller based on an interior point algorithm.
After this, a position controller based on an internal pressure loop for each pneumatic muscle was tuned up.
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A new event-based proportional integral controller, based on a specific send-on-delta sampling strategy, is analyzed in this paper.
In this paper, we have proposed a distributed controller based on a feedback-loop control system for resource allocation in a sliced router.
To overcome this problem, a new adaptive controller based on a generalized predictive control (GPC) principle was designed to make the controller more robust.
This article presents the development of a greenhouse intelligent climate control system that uses a fuzzy controller, based on a field programmable gate array (FPGA).
This paper presents the design of a one step ahead model predictive controller based on a neural network for a single input single output nonlinear system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com