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Found 4 papers, 3 papers with code
Specifying and Analyzing Networked and Layered Control Systems Operating on Multiple Clocks
We consider the problem of reasoning about networked and layered control systems using assume-guarantee specifications.
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions
Modern control systems must operate in increasingly complex environments subject to safety constraints and input limits, and are often implemented in a hierarchical fashion with different controllers running at multiple time scales.
Interactive multi-modal motion planning with Branch Model Predictive Control
Motion planning for autonomous robots and vehicles in presence of uncontrolled agents remains a challenging problem as the reactive behaviors of the uncontrolled agents must be considered.
Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots
This paper presents a framework that leverages both control theory and machine learning to obtain stable and robust bipedal locomotion without the need for manual parameter tuning.
