Powers of the Governmental State as Feedback Control Dynamic System

TL;DR

This paper models the democratic government as a second-order feedback control system, analyzing how rule-making, application, and adjudication functions interact to reflect public wants and achieve optimal governance.

Contribution

It introduces a novel control system model of government functions, integrating feedback mechanisms to simulate democratic processes and analyze system performance.

Findings

The model demonstrates how government functions can be optimized to match public desires.

Simulation results show the impact of noise and system failures on governance effectiveness.

The feedback control approach provides insights into improving democratic systems.

Abstract

Democracy in a state is possibly a gain to have the government that represents the whole citizens. But the main element of the democratic system is the ability of the governmental functions in the state to act properly in order to gain the citizen wants. The simulation presented in this paper shows how the rule-making, rule-application, and rule-adjudication functions work such ways and how they work to have the public wants. The model is the second order feedback control dynamic system where the rule-making and rule-application function placed in the forward path and the rule-adjudication placed at backward path of the system. The rule-making function assumed to be the function that accentuate the result of public inquiries and presented as a gain function. The rule-application and the rule-adjudication are modeled as an exponential function which response is lowering the entropy of the disordered state conditions by the policies that output. The possible noise that came from the inability of the government system to work properly is also presented here. The government system that succeed the gain the same as the public wants is the optimum government that wanted to be achieved.