The proceedings contain 58 papers. The topics discussed include: the changing role of requirements and architecture in systemsengineering;balancing abstraction and implementation constraints when specifying problems;...
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ISBN:
(纸本)1424401887
The proceedings contain 58 papers. The topics discussed include: the changing role of requirements and architecture in systemsengineering;balancing abstraction and implementation constraints when specifying problems;using models and abstraction to extend and unify systemsengineering;communication and corporate information intensive integrated modeling for engineering at extended companies;supervisory controller design for timed petri nets;output feedback stabilization of fuzzy systems with unobservable premise variables;mission control by coordinating shared resources;observability analysis of free-choice petri net models;the velocity of information;on the pursuit of enterprise opportunities by systemsengineering organizations;modeling organizational dynamics;an energy-efficient approach for information transfer from wireless sensor networks;and split-phase coded modulation for a MIMO system over fading channels.
Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/ieee 27th Internat...
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Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/ieee 27th internationalconference on Model-Driven engineering Languages and systems (MODELS 2024) and the 1st internationalconference on engineering Digital Twins (EDTconf 2024). The selected papers tackle critical challenges in improving system understanding, enhancing stakeholder communication, streamlining design and development processes, optimizing lifecycles, and enabling seamless integration of complex systems.
Nowadays, challenges in load frequency control (LFC) are increasing to consider various non-linearity in the system. To deal with disturbance in the LFC system active disturbance rejection control (ADRC) is a popular ...
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This article investigates prescribed performance neural autonomous control of discrete-time nonlinear systems subject to actuator saturation. Unlike existing sliding-mode-control (smc) driven structure, we aim to cons...
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This article investigates prescribed performance neural autonomous control of discrete-time nonlinear systems subject to actuator saturation. Unlike existing sliding-mode-control (smc) driven structure, we aim to construct a more general and user-friendly framework that achieves prescribed behaviors by indirectly stabilizing transformed errors in the discrete-time domain. We propose two new approaches to accomplish such objective. The first one is to compensate actuator saturation by developing a modification system, the state of which is further applied to design flexible terms that endow an ability to resiliently adjust prescribed envelopes according to saturation condition, which constitutes the second approach. In comparison with current discrete-time prescribed performance control (PPC), the proposed method avoids the singularity problem and consequently remedies the fragility defect. In addition, an adaptive neural back-stepping procedure is used to devise discrete-time PPC protocols that limit tracking errors inside the developed flexible prescribed envelopes to satisfy both transient and steady-state properties. Finally, the efficiency of design is illustrated via Lyapunov synthesis, and is further verified by numerical simulation. Note to Practitioners-The motivation arises from the requirement for autonomous tracking control of discrete-time nonlinear systems with actuator saturation and fragility relaxation. Unfortunately, existing smc-driven discrete-time PPC isn't able to achieve expected prescribed behaviors in the presence of actuator saturation. To break through this bottleneck, we firstly develop a new design framework, being different from existing smc-based ones, to impose prescribed performance on tracking errors by indirectly stabilizing transformed errors, and then we define a new modification system which effectively compensates the actuator saturation so that the fragility defect can be remedied. On this basis, a novel discrete-time tracking
Sequential Monte Carlo (smc), or particle filtering, is widely used in nonlinear state-space systems, but its performance often suffers from poorly approximated proposal and state-transition distributions. This work i...
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This paper introduces a novel double-loop control (DLC) method that seamlessly integrates sliding mode control (smc) and internal model control (IMC) to effectively mitigate chaotic behavior in power systems. Initiall...
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This paper presents an anti-slip control system for dual-motor electric vehicles, utilizing a sliding mode control (smc) approach. The control strategy calculates the torque distribution coefficients for the front and...
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This study examines a three-phase, three-wire shunt active filter (SAF) integrated with the grid via an LCL filter, which mitigates distortions induced by the high switching frequency of the voltage source inverter (V...
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This paper presents an advanced control strategy for autonomous vehicle lateral dynamics using Sliding Mode Control (smc) integrated with Takagi-Sugeno (T-S) fuzzy logic and enhanced by the Barrier Lyapunov approach. ...
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