Online Data-Driven Adaptive Control for Unknown Linear Time-Varying Systems
This paper proposes a novel online data-driven adaptive control for unknown linear time-varying systems. Initialized with an empirical feedback gain, the algorithm periodically updates this gain based on the data collected over a short time window before each update. Meanwhile, the stability of the closed-loop system is analyzed in detail, which shows that under some mild assumptions, the proposed online data-driven adaptive control scheme can guarantee practical global exponential stability. Finally, the proposed algorithm is demonstrated by numerical simulations and its performance is compared with other control algorithms for unknown linear time-varying systems.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Data-Driven Cooperative Adaptive Cruise Control for Unknown Nonlinear Vehicle Platoons
This paper studies cooperative adaptive cruise control (CACC) for vehicle platoons with consideration of the unknown nonlinear vehicle dynamics that are normally ignored in the literature. A unified data-driven CACC desi…
Data-Driven Retrospective Cost Adaptive Control for Flight Control Application
Unlike fixed-gain robust control, which trades off performance with modeling uncertainty, direct adaptive control uses partial modeling information for online tuning. The present paper combines retrospective cost adaptiv…
Adaptive tracking MPC for nonlinear systems via online linear system identification
This paper presents an adaptive tracking model predictive control (MPC) scheme to control unknown nonlinear systems based on an adaptively estimated linear model. The model is determined based on linear system identifica…
LEMMAModel Predictive ControlData-Driven Adversarial Online Control for Unknown Linear Systems
We consider the online control problem with an unknown linear dynamical system in the presence of adversarial perturbations and adversarial convex loss functions. Although the problem is widely studied in model-based con…
Data-driven sliding mode control for partially unknown nonlinear systems
This paper presents a new data-driven control for multi-input, multi-output nonlinear systems with partially unknown dynamics and bounded disturbances. Since exact nonlinearity cancellation is not feasible with unknown d…