Results 31 to 40 of about 369 (198)

Conditions for optimality of scalar feedback quantization

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
This paper presents novel results on scalar feedback quantization (SFQ) with uniform quantizers. We focus on general SFQ configurations where reconstruction is via a linear combination of frame vectors. Using a deterministic approach, we derive two necessary and sufficient conditions for SFQ to be optimal, i.e., to produce, for every input, a quantized
Milan S. Derpich, Daniel E. Quevedo, Graham C. Goodwin   +2 more
openaire   +3 more sources

Adaptive Tracking Control for a Class of Uncertain Nonlinear Multi-Agent Systems With Input Quantization Based on Neural Approach

IEEE Access, 2019
This paper mainly concentrates on the distributed tracking control problem for a class of uncertain nonlinear multi-agent systems with quantized input signal. Unlike the previous results on quantized control for multi-agent systems, the nonlinearities in
Yun Shang, Bing Chen, Chong Lin, Zhiliang Liu   +3 more
doaj   +1 more source

Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems

Journal of Control Science and Engineering, 2011
This paper is concerned with the problem of stabilizing one family of fuzzy nonlinear systems by means of fuzzy quantized feedback. The hybrid control strategy originating in earlier work by Brockett and Liberzon(2000) and Liberzon (2003) relies on the ...
Yingqi Zhang, Caixia Liu, Xiaowu Mu
doaj   +1 more source

Formation Tracking for Nonlinear Uncertain Multi-Agent Systems via Adaptive Output Feedback Quantized Control

IEEE Access, 2019
This paper studies the distributed output feedback control problem for formation tracking of multi-agent systems with both quantized control and measurement signals.
Zhuoran Zhang, Jinglin Hu, Hanqiao Huang
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Adaptive Finite-Time Control of Nonlinear Quantized Systems With Actuator Dead-Zone

IEEE Access, 2019
This paper investigates a finite-time control problem of nonlinear quantized systems with actuator dead-zone in a non-strict feedback form. By combining a simplified dead-zone model and the sector-bound characteristic of a hysteretic quantizer, the ...
Yan Zhang, Fang Wang, Jianhui Wang, Yuanyuan Huang   +3 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Design of a 1-bit MEMS Gyroscope using the Model Predictive Control Approach

Sensors, 2019
In this paper, a bi-level Delta-Sigma modulator-based MEMS gyroscope design is presented based on a Model Predictive Control (MPC) approach. The MPC is popular because of its capability of handling hard constraints.
Xiaofeng Wu, Zhicheng Xie, Xueliang Bai, Trevor Kwan   +3 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source