Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an asymptotic tracking control design method for stochastic strict-feedback systems via fuzzy logic systems. In the existing results, stochastic controls are usually limited to be bounded in probability. Hover, how to realize the asymptotic tracking control for stochastic strict-feedback systems remains a control dilemma.  achieves the asymptotic tracking control by proposing a novel gain suppressing inequality approach. Specifically, the three-part construction is performed to achieve such control objective for stochastic systems. First, the novel gain suppressing inequality technique is developed to lay the foundation for carrying out the Lyapunov stability analysis. Second, the developed inequality technique is integrated with each step of the backstepping-based adaptive control design procedure. Third, analyses are provided to realize the asymptotic tracking control of stochastic strict-feedback systems.
['Ci Chen', 'Zhi Liu', 'Yun Zhang', 'C. L. Philip Chen', 'Shengli Xie']
I am writing a research paper on a idea Asymptotic Fuzzy Tracking Control for a Class of Stochastic Strict-Feedback Systems
[{"from": "human", "value": "I am writing a research paper on a idea Asymptotic Fuzzy Tracking Control for a Class of Stochastic Strict-Feedback Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an asymptotic tracking control design method for stochastic strict-feedback systems via fuzzy logic systems. In the existing results, stochastic controls are usually limited to be bounded in probability. Hover, how to realize the asymptotic tracking control for stochastic strict-feedback systems remains a control dilemma.  achieves the asymptotic tracking control by proposing a novel gain suppressing inequality approach. Specifically, the three-part construction is performed to achieve such control objective for stochastic systems. First, the novel gain suppressing inequality technique is developed to lay the foundation for carrying out the Lyapunov stability analysis. Second, the developed inequality technique is integrated with each step of the backstepping-based adaptive control design procedure. Third, analyses are provided to realize the asymptotic tracking control of stochastic strict-feedback systems."}]