This paper presents a framework for bounding the approximation error in imitation model predictive controllers utilizing neural networks. Leveraging the Lipschitz properties of these neural networks, we derive a bound...
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The proceedings contain 192 papers. The topics discussed include: a Kalman filter-based submersible position prediction model and a multi-target dynamic search and rescue scheme;model-free false data injection attack ...
ISBN:
(纸本)9798331518493
The proceedings contain 192 papers. The topics discussed include: a Kalman filter-based submersible position prediction model and a multi-target dynamic search and rescue scheme;model-free false data injection attack via eavesdropping: an online approach;data-driven optimal control for continuous-time linear nonzero-sum games;finite-time model predictive control for constrained continuous-time systems;a methodology to study the impact of spiking neural network parameters considering event-based automotive data;a methodology to study the impact of spiking neural network parameters considering event-based automotive data;multivariable dynamic performance seeking control of civil turbofan engine;and learning-based nonlinear model predictive control using deterministic actor-critic with gradient q-learning critic.
The prediction accuracy of the generation interval of Cooperative Awareness Message (CAM) is known to directly affect the accuracy of reserved communication resources for CAM in cellular vehicle-to-everything (C-V2X) ...
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The importance of high-performance computers in car networks increases to realize software assistance functions. These computers offer new opportunities for use cases in car testing and diagnostics towards vehicle sof...
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ISBN:
(纸本)9781665493130
The importance of high-performance computers in car networks increases to realize software assistance functions. These computers offer new opportunities for use cases in car testing and diagnostics towards vehicle software and services. Therefore, car testing and diagnostics are no longer limited to the testing and functional checking of electric and electronic components. Proven concepts from computer science, such as business process management, can be integrated into the car network to provide a uniform basis for automotive use cases. In this paper, (i) the Business Process Model and Notation (BPMN) standard is used to model diagnostic processes in future car production lines and (ii) a car-tailored BPMN workflow engine is introduced to execute the processes in a high-performance vehicular computer. The research on executable BPMN models in car networks bridges the gap between interdisciplinary business processes and execution in automotive IT systems.
The proceedings contain 154 papers. The topics discussed include: energy efficient routing technique in wireless sensor network using hybrid approach;simulation based actuator model creation and commissioning on virtu...
ISBN:
(纸本)9798350390728
The proceedings contain 154 papers. The topics discussed include: energy efficient routing technique in wireless sensor network using hybrid approach;simulation based actuator model creation and commissioning on virtual test bed;differential protection of active distribution network in the presence of inverter interfaced distributed generation;confirmatory check of 1 kW BLDC motor for use in electric vehicle application;design and performance analysis of utility scale grid connected hybrid wind-solar plant in an existing operational wind farm in India;enhancing home energy use with solar panels and battery technology;WPT system for bidirectional on-board electric vehicle charging - a review;detection and study of HIF with the help of discrete wavelet transform in distribution lines;and enhancing DC microgrid performance: a comprehensive review of control, operation, and protection strategies.
This paper proposes a tool for the optimal real-time management of the resources of a renewable energy community. According to Italian Regulations, the renewable energy community members are fed by distribution networ...
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In secondary frequency control of power systems, measurement data, state information, and control signals must be transmitted over communication networks, where network delays and packet loss may occur. This paper pre...
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In industrial automation, the PID controller plays a crucial role as it allows for process control, making it a widely utilized tool in automation. However, due to technological advancements and the continuous growth ...
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This article addresses the sensor fault estimation and the fault-tolerant control (FTC) problem of the networked controlsystems (NCSs) with external disturbances and network-induced delay. Firstly, the sensor fault s...
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Speed control of Brushless DC (BLDC) motors using an Artificial Neural network (ANN) controller was proposed. BLDC motors, known for their high efficiency, compact size, and excellent speed-torque characteristics, are...
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