Shasha Wang , Dongchen Dai , Lili Li , Shuang Gao , Zhouhua Peng , Yulong Tuo
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引用次数: 0
Abstract
In this paper, an event-triggered prescribed-time distributed formation control method is designed for marine surface vessels with prescribed-time prescribed performance subject to compound uncertainties. Firstly, we introduce variable substitutions to simplify the mathematical model of marine surface vessels. Then, a prescribed-time extended state observer is constructed to estimate unmeasured velocities and compound uncertainties at a prescribed-time. Meanwhile, a novel prescribed-time performance function with an error transformation is designed to impose constraints on formation errors. Subsequently, we design an event-triggered control mechanism taking account of error constraints, which reduces the operating frequency of actuators without weakening system transient performance. Based on the designed extended state observer, performance function and event-triggered control mechanism, a prescribed-time distributed formation control law is developed for marine surface vessels with distinguished convergence performance, good transient performance, and low actuator losses. At last, simulations are conducted to illustrate the advantages and application prospects of the designed approach. The proposed method has several notable characteristics compared with most existing strategies: 1) it guarantees the prescribed-time convergence of the formation errors; 2) it achieves prescribed-time error constraints by using the designed performance function; 3) it actualizes the quantitative balance between error constraints and the operating frequency of actuators via the proposed event-triggered control mechanism, which can avoid the excessive wear on actuators.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.