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Full-Text Articles in Controls and Control Theory
Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov
Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov
Chemical Technology, Control and Management
The issue of synthesis of an adaptive control system for multi-channel and multi-mode objects is considered. Development that of effective adaptive control algorithms for nonlinear dynamic systems ensure quality indicators of processes. In technological processes, it is necessary to control several parameters or several systems at the same time. For such a process control system, an adaptive control system is created. Work has been carried out on structural projects for the installation of adaptive systems. The stable requirements for the correction of adaptive control systems are seen. A review of several parametric deviation detections, based on the reference model and …
Evaluating Eeg–Emg Fusion-Based Classification As A Method For Improving Control Of Wearable Robotic Devices For Upper-Limb Rehabilitation, Jacob G. Tryon
Evaluating Eeg–Emg Fusion-Based Classification As A Method For Improving Control Of Wearable Robotic Devices For Upper-Limb Rehabilitation, Jacob G. Tryon
Electronic Thesis and Dissertation Repository
Musculoskeletal disorders are the biggest cause of disability worldwide, and wearable mechatronic rehabilitation devices have been proposed for treatment. However, before widespread adoption, improvements in user control and system adaptability are required. User intention should be detected intuitively, and user-induced changes in system dynamics should be unobtrusively identified and corrected. Developments often focus on model-dependent nonlinear control theory, which is challenging to implement for wearable devices.
One alternative is to incorporate bioelectrical signal-based machine learning into the system, allowing for simpler controller designs to be augmented by supplemental brain (electroencephalography/EEG) and muscle (electromyography/EMG) information. To extract user intention better, sensor …
Problems Of Modeling And Control Of The Technological Process Of Ore Grinding, Djalolitdin Pakhritdinovich Mukhitdinov, Sanjar Boybutayev
Problems Of Modeling And Control Of The Technological Process Of Ore Grinding, Djalolitdin Pakhritdinovich Mukhitdinov, Sanjar Boybutayev
Chemical Technology, Control and Management
The article analyzes the methods of mathematical modeling of the closed-loop process of fine grinding of ore in order to predict the composition of the crushed raw material. Analyzed modeling methods that consider the control of classification of crushed raw materials and finished products by the size of the recirculating load, simulation modeling methods, methods that use neuro-phase netthe research apparatus, in which the fuzzy logic apparatus serves as a fundamental component for the formation of conclusions. The materials presented in the article reflect the theoretical substantiation and generalization of the accumulated practical experience in modeling and control of the …
Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov
Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov
Chemical Technology, Control and Management
Discusses the formalization of the procedure for constructing an adaptive control system with a reference model based on the Lyapunov function. It is shown that the asymptotic stability of the extended system of differential equations guarantees accurate tracking of the desired output signal of the model. At the same time, the expediency of analyzing the asymptotic stability of the system in extended space using the Lyapunov function is shown. The above algorithms help to stabilize the computational matrix inversion procedure and thereby increase the accuracy of estimating the adjustable parameter in an adaptive control system.