Explicit self-tuning methods

1980 ◽  
Vol 127 (6) ◽  
pp. 259 ◽  
Author(s):  
J.-J.J. Fuchs
Keyword(s):  
Self Tuning ◽  
Tuning Methods

scholarly journals BELAIDŽIO RYŠIO SIŲSTUVŲ-IMTUVŲ SUSIDERINIMO BŪDŲ ANALIZĖ / ANALYSIS OF SELF TUNING METHODS FOR DIRECT CONVERSION TRANSCEIVERS

2018 ◽  
Vol 10 (0) ◽  
pp. 1-11
Author(s):  
Leonid Kladovščikov ◽  
Romualdas Navickas
Keyword(s):  
Direct Conversion ◽  
Self Tuning ◽  
Tuning Methods

Integrinių grandynų gamybos technologinių procesų paklaidos didina daugiastandarčių siųstuvų-imtuvų komponentų parametrų sklaidą ir blogina jų veiką, tad siekiama komponentų verčių nuokrypius kompensuoti. Pagrindiniai derinami parametrai yra tokie: siųstuvo ir imtuvo kvadratūrinių kanalų nuolatinės dedamosios, amplitudės ir fazės poslinkiai, antrosios eilės iškraipymai. Darbe išanalizuoti žinomi daugiastandarčių belaidžio ryšio siųstuvų-imtuvų derinimo būdai, jie suskirstyti į tiesioginio, netiesioginio ir grįžtamojo ryšio bei mišriuosius būdus. Ištirtos analoginės ir skaitmeninės modernių siųstuvų-imtuvų derinimo sistemos, atlikta jų privalumų ir trūkumų bei modernioms belaidžio ryšio sistemoms aktualių derinimo parametrų analizė.

scholarly journals Toward Efficient Navigation of Massive-Scale Geo-Textual Streams

2019 ◽  
Author(s):  
Chengcheng Yang ◽  
Lisi Chen ◽  
Shuo Shang ◽  
Fan Zhu ◽  
Li Liu ◽  
...  
Keyword(s):  
Cost Model ◽  
Streaming Data ◽  
Maintenance Cost ◽  
Portable Devices ◽  
Time Data ◽  
Tuning Method ◽  
Massive Scale ◽  
Self Tuning ◽  
Real World Datasets ◽  
Tuning Methods

With the popularization of portable devices, numerous applications continuously produce huge streams of geo-tagged textual data, thus posing challenges to index geo-textual streaming data efficiently, which is an important task in both data management and AI applications, e.g., real-time data streams mining and targeted advertising. This, however, is not possible with the state-of-the-art indexing methods as they focus on search optimizations of static datasets, and have high index maintenance cost. In this paper, we present NQ-tree, which combines new structure designs and self-tuning methods to navigate between update and search efficiency. Our contributions include: (1) the design of multiple stores each with a different emphasis on write-friendness and read-friendness; (2) utilizing data compression techniques to reduce the I/O cost; (3) exploiting both spatial and keyword information to improve the pruning efficiency; (4) proposing an analytical cost model, and using an online self-tuning method to achieve efficient accesses to different workloads. Experiments on two real-world datasets show that NQ-tree outperforms two well designed baselines by up to 10×.

FEEDBACK CONTROL OF A QUADRATIC MAP MODEL OF CARDIAC CHAOS

1996 ◽  
Vol 06 (04) ◽  
pp. 715-723 ◽  
Author(s):  
MICHAEL E. BRANDT ◽  
GUANRONG CHEN
Keyword(s):  
Fixed Point ◽  
Feedback Control ◽  
Mapping Method ◽  
Quadratic Mapping ◽  
Quadratic Map ◽  
Chaotic Orbits ◽  
Linear Approach ◽  
Self Tuning ◽  
Arbitrary Period ◽  
Tuning Methods

This paper describes methods based on engineering feedback principles for controlling cardiac chaos modeled by a quadratic map. We first discuss briefly the linear approach which is effective at controlling the map to fixed point or near fixed point target trajectories. We then describe and demonstrate self-tuning methods that can control the chaotic orbits of the map to arbitrary period one, two, or three target trajectories. We conclude with a discussion comparing the merits of this approach to the OGY method used by Garfinkel et al. [1992] for control of complex rhythms in rabbit septal preparations, and to the flat-topped quadratic mapping method of Glass and Zeng [1994].

scholarly journals A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6155
Author(s):  
Edson E. Cruz-Miguel ◽  
José R. García-Martínez ◽  
Juvenal Rodríguez-Reséndiz ◽  
Roberto V. Carrillo-Serrano
Keyword(s):  
User Interface ◽  
Open Source ◽  
Graphical User Interface ◽  
Industrial Applications ◽  
Open Architecture ◽  
Servo Systems ◽  
Motion System ◽  
Self Tuning ◽  
Mechanical Elements ◽  
Tuning Methods

Servo systems are feedback control systems characterized by position, speed, and/or acceleration outputs. Nowadays, industrial advances make the electronic stages in these systems obsolete compared to the mechanical elements, which generates a recurring problem in technological, commercial and industrial applications. This article presents a methodology for the development of an open-architecture controller that is based on reconfigurable hardware under the open source concept for servo applications. The most outstanding contribution of this paper is the implementation of a Genetic Algorithm for online self tuning with a focus on both high-quality servo control and reduction of vibrations during the positioning of a linear motion system. The proposed techniques have been validated on a real platform and form a novel, effective approach as compared to the conventional tuning methods that employ empirical or analytical solutions and cannot improve their parameter set. The controller was elaborated from the Graphical User Interface to the logical implementation while using free tools. This approach also allows for modification and updates to be made easily, thereby reducing the susceptibility to obsolescence. A comparison of the logical implementation with the manufacturer software was also conducted in order to test the performance of free tools in FPGAs. The Graphical User Interface developed in Python presents features, such as speed profiling, controller auto-tuning, measurement of main parameters, and monitoring of servo system vibrations.

Research on Typical Methods of S Surface Controller Parameter Self-Tuning for Underwater Vehicles

2013 ◽  
Vol 365-366 ◽  
pp. 897-904 ◽  
Author(s):  
Bin He ◽  
Da Peng Jiang ◽  
Guo Cheng Zhang ◽  
Ying Hao Zhang
Keyword(s):  
Moving Average ◽  
Response Speed ◽  
Underwater Vehicles ◽  
Theory Model ◽  
Elman Neural Network ◽  
Controller Parameter ◽  
Tuning Method ◽  
Autoregressive Moving Average Model ◽  
Self Tuning ◽  
Tuning Methods

S surface control is a simple and operative motion control algorithm for underwater vehicles, but it has two parameters requiring to be adjusted manually. In order to enhance the adaptability of S surface controller, the research of S surface controller parameter self-tuning methods based on rules and models is carried out. Firstly, combined with fuzzy control, parameter self-tuning method based on fuzzy rules is presented. Then by means of predictive control theory, model-based parameter self-tuning method is proposed. By introducing the nonlinear autoregressive moving average model, the prediction model of underwater vehicles is established using parallel Elman neural network, and the optimal parameters of S surface controller is obtained by constructing quadratic performance index function. The results of simulation experiments show that the response speed of S surface controller with parameter self-tuning modules is improved, and the parameter self-tuning methods is demonstrated feasible and effective.

Tuning and implementation methods for fractional-order controllers

2012 ◽  
Vol 15 (2) ◽  
Author(s):  
Ivo Petráš
Keyword(s):  
Fractional Order ◽  
Pid Controllers ◽  
Fir Filters ◽  
Practical Implementation ◽  
Approximation Methods ◽  
Programmable Logic ◽  
Survey Paper ◽  
Implementation Techniques ◽  
Self Tuning ◽  
Tuning Methods

AbstractThis survey paper presents methods of tuning and implementation of Fractional-Order Controllers (FOC). In the article are presented tuning, auto-tuning and self-tuning methods for the FOC. As the FOC are considered fractional PID controllers, the Commande Robuste d’Ordre Non Entier (CRONE) controller and fractional-order lead-lag compensators. As implementation techniques are described the IIR and FIR filters forms of approximation methods, which can be easily implemented in microprocessor devices such as for example the Programmable Logic Controller (PLC), etc. The possibility for analogue implementation of such kind of controllers is also mentioned. An example of practical implementation of the FOC together with all problems and restrictions are described as well.

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