Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article deals with the design and analysis of state predictor-based model reference adaptive control for a vehicle lateral dynamics. The goal of this article is to achieve the desired tracking in the presence of uncertainty in order to guarantee the stability as ll as improving the performance of the vehicle. Through Lyapunov stability analysis, the adaptive laws of stable predictor-based state feedback have been derived. In order to evaluate the advantages of proposed controller, first the performance of non-adaptive linear quadratic regulator controller in nominal conditions has been presented. By adding uncertainty to the vehicle dynamics, the performance of controller has been reduced. Then, by augmenting model reference adaptive control to linear quadratic regulator, the performance has been improved. Finally, a considerable improvement has been achieved in transient response and control signal using predictor-based model reference adaptive control. Simulation results show that by adding predi...
['Alireza Khosravi', 'Zahra Lachini', 'Pouria Sarhadi']
I am writing a research paper on a idea Predictor-based model reference adaptive control for a vehicle lateral dynamics considering uncertainties
[{"from": "human", "value": "I am writing a research paper on a idea Predictor-based model reference adaptive control for a vehicle lateral dynamics considering uncertainties"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article deals with the design and analysis of state predictor-based model reference adaptive control for a vehicle lateral dynamics. The goal of this article is to achieve the desired tracking in the presence of uncertainty in order to guarantee the stability as ll as improving the performance of the vehicle. Through Lyapunov stability analysis, the adaptive laws of stable predictor-based state feedback have been derived. In order to evaluate the advantages of proposed controller, first the performance of non-adaptive linear quadratic regulator controller in nominal conditions has been presented. By adding uncertainty to the vehicle dynamics, the performance of controller has been reduced. Then, by augmenting model reference adaptive control to linear quadratic regulator, the performance has been improved. Finally, a considerable improvement has been achieved in transient response and control signal using predictor-based model reference adaptive control. Simulation results show that by adding predi..."}]