Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting fromQinhuangdao, People’s Republic of Chi na, by NewsRx journalists, research stated, “This article studiesthe modeling a nd tracking control problems for a class of towed unmanned fire fighting robots. Consideringthat no similar modeling results exist, we take the lead in buildin g a novel system model that takes intoconsideration both system uncertainties a nd external disturbances, including unknown friction factors anddrag force.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news correspondents obtained a quote from the research from Yanshan Universi ty, “Then, tocompensate for the adverse effects of system uncertainties and ext ernal disturbances, a novel robustcontrol algorithm is proposed, which utilizes adaptive control and scaling techniques. Moreover, innovativepredefined perfor mance functions are designed to ensure that tracking processes meet predefined t ransientand steady-state requirements. Unlike most of the existing works, our p redefined time performance functionhas the advantage that the convergence time and convergence accuracy can be arbitrarily changed. In theend, a novel robust adaptive control scheme with predefined time and precision tracking is designed usingthe backstepping recursive method. Based on Lyapunov stability theory, it is demonstrated that all signalsin the closed-loop system are ultimately bounde d, and both predefined transient and steady-state processes are never violated. To validate the effectiveness of this proposed control scheme, numerical simulat ionsand practical platform experiments have been conducted.”
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