Control device, control system, control program, and control method

The control device and system address instability in adaptive control by predicting and analyzing distributions to adjust control parameters, ensuring stable operation despite changing probability distributions.

JP7864282B1Active Publication Date: 2026-05-22MITSUBISHI ELECTRIC CORP
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
MITSUBISHI ELECTRIC CORP
Filing Date
2025-07-28
Publication Date
2026-05-22

AI Technical Summary

Technical Problem

Existing adaptive control systems fail to detect and adapt to continuous or discrete changes in the probability distribution of parameters affecting controlled objects, leading to instability in remote control due to factors like transmission delay, and assume known distributions, preventing effective adaptive control.

Method used

A control device and system that includes a distribution prediction unit, extraction unit, and control unit to construct and analyze predicted distributions from sample values, extracting features to calculate parameters that adjust to changing distributions, ensuring stable adaptive control.

Benefits of technology

Stable adaptive control is achieved by calculating parameters based on features extracted from predictive distributions, enabling robust control even with unknown or changing probability distributions.

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Abstract

This disclosure enables stable adaptive control. The control device (100A) changes the state of the controlled object using a first parameter (u k The control device (100A) outputs a distribution prediction unit (110A), an extraction unit (120A), and a control unit (130A). The distribution prediction unit (110A) outputs a second parameter (ξ) that changes the characteristics of the controlled object, corresponding to at least one time, including the current time. k The predictive distribution (PD) is derived from at least one sample value of ) k+1 The extraction unit (120A) is composed of a predictive distribution (PD). k+1 ) from features (η k+1 The control unit (130A) extracts the feature quantity (η). k+1 Based on the state of the controlled object, the first parameter (u k Calculate ).
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