Relativistic Control: Feedback Control of Relativistic Dynamics

12/06/2019
by   Song Fang, et al.
0

Strictly speaking, Newton's second law of motion is only an approximation of the so-called relativistic dynamics, i.e., Einstein's modification of the second law based on his theory of special relativity. Although the approximation is almost exact when the velocity of the dynamical system is far less than the speed of light, the difference will become larger and larger (and will eventually go to infinity) as the velocity approaches the speed of light. Correspondingly, feedback control of such dynamics should also take this modification into consideration (though it will render the system nonlinear), especially when the velocity is relatively large. Towards this end, we start this paper by studying the state-space representation of the relativistic dynamics. We then investigate on how to employ the feedback linearization approach for such relativistic dynamics, based upon which an additional linear controller may then be designed. As such, the feedback linearization together with the linear controller compose the overall relativistic feedback control law. We also provide further discussions on, e.g., controllability, state feedback and output feedback, as well as PID control, in the relativistic setting.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/06/2023

Data-Driven Control with Inherent Lyapunov Stability

Recent advances in learning-based control leverage deep function approxi...
research
08/18/2022

Robust Artificial Delay based Impedance Control of Robotic Manipulators with Uncertain Dynamics

In this paper an artificial delay based impedance controller is proposed...
research
01/31/2022

Output-Feedback Control of Viscous Liquid-Tank System and its Numerical Approximation

We solve the output-feedback stabilization problem for a tank with a liq...
research
08/02/2021

Fundamental Advantage of Feedback Control Based on a Generalized Second Law of Thermodynamics

Based on a novel generalized second law of thermodynamics, we demonstrat...
research
09/24/2020

Neural Identification for Control

We present a new method for learning control law that stabilizes an unkn...
research
09/06/2019

Control of Separable Subsystems with Application to Prostheses

Nonlinear control methodologies have successfully realized stable human-...

Please sign up or login with your details

Forgot password? Click here to reset