Artificial Intelligence Governance Capability Association Model based on Closed-loop Control Theory

2020 ◽  
Author(s):  
Yong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Control Theory ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Association Model ◽  
Loop Control ◽  
Model Based

scholarly journals Simple answers to usual questions about unusual forms of the Evans' root locus plot

2008 ◽  
Vol 19 (4) ◽  
pp. 444-449 ◽  
Author(s):  
L.H.A. Monteiro ◽  
J.J. Da Cruz
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Root Locus ◽  
Loop Control ◽  
Numerical Examples ◽  
Introductory Course ◽  
Classical Control ◽  
First Contact

After a first contact with Evans' root locus plots, in an introductory course about classical control theory, students usually pose questions for which the answers are not trivially found in the usual textbooks. Examples of such questions are: Can a branch intersect itself? Can two or more branches be coincident? Can a branch intersect its asymptote? In this paper devoted to helping teaching, numerical examples and an incremental property are used for answering some questions about unusual forms of root loci related to closed-loop control systems. In some cases, answering to these questions can be fundamental for making a correct sketch of a root locus.

Model based approach to closed loop control of 1-D engine simulation models

2014 ◽  
Vol 29 ◽  
pp. 212-224 ◽  
Author(s):  
Dariusz Cieslar ◽  
Paul Dickinson ◽  
Alex Darlington ◽  
Keith Glover ◽  
Nick Collings
Keyword(s):  
Closed Loop ◽  
Simulation Models ◽  
Closed Loop Control ◽  
Loop Control ◽  
Engine Simulation ◽  
Model Based

Model-Based Control of a BCF Mode Carangiform Bioinspired Robotic Fish

2014 ◽  
Vol 48 (4) ◽  
pp. 36-50 ◽  
Author(s):  
Abhra Roy Chowdhury ◽  
Vinoth Kumar ◽  
Bhuneshwar Prasad ◽  
Rajesh Kumar ◽  
S.K. Panda
Keyword(s):  
Closed Loop ◽  
Robotic Fish ◽  
Closed Loop Control ◽  
Caudal Fin ◽  
Loop Control ◽  
Model Based ◽  
Time Simulation ◽  
Critical Issues ◽  
Swimming Mode ◽  
Ocean Environment

Abstract Bioinspired robotic locomotion in the ocean environment can unveil critical issues on maneuverability, efficiency, and power consumption. This paper describes the modeling and closed-loop control of a bioinspired robotic fish. A body-caudal fin (BCF) carangiform swimming mode is presented. The propulsion scheme simulates the oscillatory motion of fish tail as thrust generator. The manufactured prototype is a 45-cm-long BCF mode four-joint, 6 degree of freedom modular robotic fish with a horizontal caudal fin (tail). The system uses DC servomotors as actuators and is controlled by microcontroller dsPIC33F. The mechanical CAD design in done in Solidworks and its 3D motion simulations in Matlab VRML, respectively. Lagrange-based dynamic modeling is done for the robotic fish. Based on the model, two nonlinear closed-loop control schemes, namely computed torque method and feed-forward control, both with dynamic PD compensation, are evaluated. This paper compares these model-based controllers to match the desired response based on reference angle position and velocity tracking. Real-time simulation results in Matlab/Simulink are provided to illustrate the effectiveness of the proposed methodologies for robotic fish locomotion.

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