Delayed Feedback Control Requires an Internal Forward Model
Dmitry Volkinshtein, Ron Meir

TL;DR
This paper demonstrates that effective delayed feedback control in biological systems necessitates an internal forward model of the plant, providing theoretical proof that such models are essential for stability and robustness in control tasks.
Contribution
The paper formally defines forward models for deterministic control and proves their necessity in delayed feedback control systems under general conditions.
Findings
Any control system solving delayed feedback tasks must contain a forward model.
The results apply to generic control systems, not just linear or quadratic ones.
Provides theoretical support for the biological necessity of forward models.
Abstract
Biological motor control provides highly effective solutions to difficult control problems in spite of the complexity of the plant and the significant delays in sensory feedback . Such delays are expected to lead to non trivial stability issues and lack of robustness of control solutions. However, such difficulties are not observed in biological systems under normal operating conditions. Based on early suggestions in the control literature, a possible solution to this conundrum has been the suggestion that the motor system contains within itself a forward model of the plant (e.g., the arm), which allows the system to `simulate' and predict the effect of applying a control signal. In this work we formally define the notion of a forward model for deterministic control problems, and provide simple conditions that imply its existence for tasks involving delayed feedback control. As opposed…
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Taxonomy
TopicsAdvanced Control Systems Optimization
