Results 91 to 100 of about 24,248 (241)

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

Advanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken, Ahmed Choukri Abdullah, Olgac Ozarslan, Ziya Yıldız, Savas Tasoglu   +4 more
wiley   +1 more source

Optimum Weight Selection Based LQR Formulation for the Design of Fractional Order PI{\lambda}D{\mu} Controllers to Handle a Class of Fractional Order Systems

, 2013
A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared Controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PI{\lambda}D{\mu} controller is proposed in this ...
Das, Saptarshi, Das, Shantanu, Gupta, Amitava, Halder, Kaushik, Pan, Indranil   +4 more
core   +1 more source

REWW‐ARM—Remote Wire‐Driven Mobile Robot: Design, Control, and Experimental Validation

Advanced Intelligent Systems, EarlyView.
The Remote Wire‐Driven robot “REWW‐ARM” demonstrates a new concept of remote actuation that separates electronics from harsh environments while retaining closed‐loop control. Combining tendon‐sheath mechanisms with decoupled joints, it achieves efficient power transmission and autonomous locomotion, manipulation, and underwater operation, suggesting ...
Takahiro Hattori, Kento Kawaharazuka, Temma Suzuki, Keita Yoneda, Kei Okada   +4 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Research on PID Parameter Optimisation for BP Neural Network Based on Improved Quantum Genetic Algorithm

IET Quantum Communication
With the continuous development of industrial intelligent technology, traditional PID algorithms have certain limitations in effectively controlling nonlinear or complex control systems.
Jianyong Zhan, Xingrong Zhu, Ying Zhou
doaj   +1 more source

Intelligent Load Frequency Control for Hybrid System With Renewable Integration

IEEE Access
This research investigates load frequency control (LFC) in hybrid power systems (HPS) with large-scale renewable energy sources (RESs). An intelligent standalone HPS is developed, integrating diverse power-generating units, variable loads, and electric ...
Pranendu Manna, Somnath Ganguly, Tanaya Datta Das, Joyti Mudi, K. Deepa, Pawan Kumar Pathak, Joon-Ho Choi   +6 more
doaj   +1 more source

Validation and Verification of Aircraft Control Software for Control Improvement [PDF]

, 2007
Validation and Verification are important processes used to ensure software safety and reliability. The Cooper-Harper Aircraft Handling Qualities Rating is one of the techniques developed and used by NASA researchers to verify and validate control ...
Pham, Thien-Anh
core   +1 more source

Fractional Order Fuzzy Control of Nuclear Reactor Power with Thermal-Hydraulic Effects in the Presence of Random Network Induced Delay and Sensor Noise having Long Range Dependence

, 2013
Nonlinear state space modeling of a nuclear reactor has been done for the purpose of controlling its global power in load following mode. The nonlinear state space model has been linearized at different percentage of reactor powers and a novel fractional
Das, Saptarshi, Das, Shantanu, Pan, Indranil   +2 more
core   +1 more source

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

Advanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui, Chihiro Sekine, Taiki Goto, Ryosuke Kinoshita, Yuko Nishimura, Shogen Sekiguchi, Satoshi Ando, Yuto Oishi, Yusuke Matsui, Ohmi Fuchiwaki   +9 more
wiley   +1 more source

A Novel Chaotic Particle Swarm Optimized Backpropagation Neural Network PID Controller for Four-Switch Buck–Boost Converters

Actuators
The emergence of intelligent control strategies has made optimization techniques essential for the precise control of DC converters. This study aims to enhance the performance of the Four-Switch Buck–Boost (FSBB) converter through control system ...
Luoyao Ren, Dazhi Wang, Xin Yan, Yupeng Zhang, Jiaxing Wang   +4 more
doaj   +1 more source