A decentralized adaptive quantized feedback tracking problem is addressed for uncertain interconnected nonlinear systems in a strict-feedback form. All local state variables for each subsystem are quantized by a hysteresis quantizer. Different from the existing results in the literature, the primary contribution of this study is to establish an adaptive control design and stability analysis strategy using the local quantized state variables in the decentralized tracking field. A novel recursive design approach is presented to deal with unmatched interconnections and nonlinearities in the quantized feedback control framework, without any restrictions on virtual control laws. The total closed-loop stability is analyzed by deriving some technical lemmas on the boundedness of quantization error signals.
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http://dx.doi.org/10.1016/j.isatra.2020.07.001 | DOI Listing |
Front Chem
November 2024
Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing, China.
Introduction: Under the background of digitalization of traditional Chinese medicine (TCM), this study aimed to realize the digital identification and adulteration analysis of Codonopsis Radix (CR) and Stellariae Radix (SR) based on chemical analysis.
Methods: This study combined digitalization concepts and chemical analysis and conducted a chemical analysis of CR and SR from different batches based on UHPLC-QTOF-MS. Furthermore, the shared ions were extracted from different batches of CR and SR as their "ion characterization" after digital quantization.
ISA Trans
November 2024
School of Science, University of Science and Technology Liaoning, Anshan Liaoning, 114051, China. Electronic address:
The article proposes a novel state-feedback control method for a multiple-input multiple-output (MIMO) nonlinear system with actuator faults and input quantization. The innovation of the design approach lies in the utilization of fuzzy logic systems (FLSs) to approximate the uncertain intermediate virtual control laws, thereby achieving a simplified virtual control design form. Additionally, finite-time control is employed to enhance the system's response speed.
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November 2024
Columbia University, New York, USA.
This study presents an innovative enhancement to retrieval-augmented generation (RAG) systems by seamlessly integrating fine-tuned large language models (LLMs) with vector databases. This integration capitalizes on the combined strengths of structured data retrieval and the nuanced comprehension provided by advanced LLMs. Central to our approach are the LoRA and QLoRA methodologies, which stand at the forefront of model refinement through parameter-efficient fine-tuning and memory optimization.
View Article and Find Full Text PDFISA Trans
December 2024
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.
Text entry with word-gesture keyboards (WGK) is emerging as a popular method and becoming a key interaction for Extended Reality (XR). However, the diversity of interaction modes, keyboard sizes, and visual feedback in these environments introduces divergent word-gesture trajectory data patterns, thus leading to complexity in decoding trajectories into text. Template-matching decoding methods, such as SHARK2 [32], are commonly used for these WGK systems because they are easy to implement and configure.
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