Fully parallel on-chip learning hardware neural network for real-time control

2003 ◽  
Author(s):  
J. Liu ◽  
M. Brooke
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Real Time Control ◽  
Time Control ◽  
On Chip ◽  
Hardware Neural Network

Neural-Network Based Approach for Real-Time Control of BMEP and MFB50 in a Euro 6 Diesel Engine

2017 ◽  
Author(s):  
Roberto Finesso ◽  
Ezio Spessa ◽  
Yixin Yang ◽  
Giuseppe Conte ◽  
Gennaro Merlino
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Real Time ◽  
Real Time Control ◽  
Time Control

Multi-dimensional Taylor network modelling and optimal control of SISO nonlinear systems for tracking by output feedback

2019 ◽  
Vol 37 (3) ◽  
pp. 699-717 ◽  
Author(s):  
Qi-Ming Sun ◽  
Hong-Sen Yan
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Nonlinear Systems ◽  
Real Time ◽  
Output Feedback ◽  
Tracking Error ◽  
Real Time Control ◽  
Network Modelling ◽  
Single Input Single Output ◽  
Time Control

Abstract In this paper, a multi-dimensional Taylor network (MTN) output feedback tracking control of nonlinear single-input single-output (SISO) systems in discrete-time form is studied. To date, neural networks are generally used to identify unknown nonlinear systems. However, the neuron of neural networks includes the exponential function, which contributes to the complexity of calculation, making the neural network control unable to meet the real-time requirements. In order to identify the controlled object whose model is unknown, the MTN, which requires only addition and multiplication, is utilized for successful real-time control of the SISO nonlinear system based on only its output feedback. Lyapunov analysis proves that output signals in the closed-loop system remain bounded and the tracking error converges to an arbitrarily small neighbourhood around the origin. In contrast to the back propagation (BP) neural network self-adaption reconstitution controller, the edge of the scheme is that the MTN optimal controller promises desirable response speed, robustness and real-time control.

Design Concept of Responsive Multithreaded Processor for Distributed Real-Time Control

2004 ◽  
Vol 16 (2) ◽  
pp. 194-199 ◽  
Author(s):  
Nobuyuki Yamasaki ◽  
Keyword(s):  
Real Time ◽  
Design Concept ◽  
Processing Unit ◽  
Home Automation ◽  
Real Time Control ◽  
Real Time Processing ◽  
Time Control ◽  
Multithreaded Processor ◽  
On Chip ◽  
Asic Chip

This paper describes the design concept of Responsive MultiThreaded (RMT) Processor for distributed real-time control that controls various embedded systems including robots, home automation, factory automation, etc. RMT processor integrates an 8-way multithreaded processor (RMT processing unit) for real-time processing, four sets of Responsive Link II for real-time communication, and I/O peripherals including DDR SDRAM I/Fs, DMAC, PCI64, USB2.0, IEEE1394, PWM generators, pulse counters, etc., into an ASIC chip. System designers can use various on-chip functions easily by connecting required I/Os to this chip directly. The designers can also realize distributed control systems by connecting several RMT processors with their own functions via Responsive Link II.

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