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Open AccessArticle

Optimal Learning and Self-Awareness Versus PDI

1
Department of Mechanical and Aerospace Engineering, Naval Postgraduate School, 93943 Monterey, CA, USA
2
Department of Mechanical Engineering (CVN), Columbia University, 10027 New York, NA, USA
*
Author to whom correspondence should be addressed.
Algorithms 2020, 13(1), 23; https://doi.org/10.3390/a13010023
Received: 26 November 2019 / Revised: 7 January 2020 / Accepted: 9 January 2020 / Published: 11 January 2020
(This article belongs to the Special Issue Algorithms for PID Controller 2019)
This manuscript will explore and analyze the effects of different paradigms for the control of rigid body motion mechanics. The experimental setup will include deterministic artificial intelligence composed of optimal self-awareness statements together with a novel, optimal learning algorithm, and these will be re-parameterized as ideal nonlinear feedforward and feedback evaluated within a Simulink simulation. Comparison is made to a custom proportional, derivative, integral controller (modified versions of classical proportional-integral-derivative control) implemented as a feedback control with a specific term to account for the nonlinear coupled motion. Consistent proportional, derivative, and integral gains were used throughout the duration of the experiments. The simulation results will show that akin feedforward control, deterministic self-awareness statements lack an error correction mechanism, relying on learning (which stands in place of feedback control), and the proposed combination of optimal self-awareness statements and a newly demonstrated analytically optimal learning yielded the highest accuracy with the lowest execution time. This highlights the potential effectiveness of a learning control system.
Keywords: control systems; feedforward; feedback; learning systems; deterministic artificial intelligence; Luenberger; proportional-derivative-integral; PDI; virtual zero reference; dead-beat control inspired control systems; feedforward; feedback; learning systems; deterministic artificial intelligence; Luenberger; proportional-derivative-integral; PDI; virtual zero reference; dead-beat control inspired
MDPI and ACS Style

Smeresky, B.; Rizzo, A.; Sands, T. Optimal Learning and Self-Awareness Versus PDI. Algorithms 2020, 13, 23.

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