Title: A study based on 2D seismic prospecting method of distributed real-time data acquisition system
Authors: Sun Bin1 ; Zheng Mukai1; Zou Jie1; Sun Xiurong2
Author affiliation: 1 SDIC Qujing Coal Dev. Co., Ltd., Qujing, China
2 Shanghai Shenfeng Inst. of Novel Geol. Tech. Co., Ltd., Shanghai, China
Source: Proceedings of the 32nd Chinese Control Conference (CCC)
Publication date: 2013
Pages: 7191-5
Language: Chinese
Document type: Conference article (CA)
Conference name: 2013 32nd Chinese Control Conference (CCC)
Conference date: 26-28 July 2013
Conference location: Xi'an, China
Publisher: IEEE
Place of publication: Piscataway, NJ, USA
Material Identity Number: YXB3-1901-950
Abstract: In allusion to problems such as complexity of coalfield geological condition, lack of experience of geophysical prospecting, low sensitivity and poor resolution of traditional seismometers in Enhong coal mine area of Yunnan Province, this paper puts forward a real-time data acquisition method based on distributed acquisition system. The collected real-time data are of high-precision and high-reliability after being compared with those geological section maps via extractive geological samples from a series of misering engineering. Thereupon this method is proved to be able to ascertain accurately coal seam strike of northwest shallow seam and southeast deep seam, occurrence conditions of stable distance between coal seams, and development situations of structures often faults, two anticlines and one syncline in test sections. The imaging data from test provide scientific instructions and reliable data reference for reasonable layout of mining face and mine roadway, as well as high efficiency and safety underground mining.
Number of references: 11
Inspec controlled terms: data acquisition - faulting - geophysical techniques - mining
Uncontrolled terms: 2D seismic prospecting method - distributed real-time data acquisition system - geological section maps - extractive geological samples - misering engineering - northwest shallow seam - southeast deep seam - occurrence conditions - faults - anticlines - syncline - mining face layout - mine roadway - safety underground mining
Inspec classification codes: A9385 Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research - A9365 Data and information; acquisition, processing, storage and dissemination in geophysics - A9145B Sub-plate scale tectonics (faults, folds, rifts, etc.) - B7710 Geophysical techniques and equipment - B7210G Data acquisition systems
Treatment: Practical (PRA)
Discipline: Physics (A); Electrical/Electronic engineering (B)
IPC Code: E21C SECTION E FIXED CONSTRUCTIONS
EARTH OR ROCK DRILLING; MINING
MINING OR QUARRYING
G01V SECTION G PHYSICS
MEASURING counting ; TESTING
GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS detecting or locating foreign bodies for diagnostic, surgical or person-identification purposes ; means for indicating the...
Database: Inspec
Copyright 2013, The Institution of Engineering and Technology
Title: Discrete-time indefinite stochastic linear quadratic optimal control: Inequality constraint case
Authors: Guiling Li1; Weihai Zhang2
Author affiliation: 1 Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
2 Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Source: Proceedings of the 32nd Chinese Control Conference (CCC)
Publication date: 2013
Pages: 2327-32
Language: English
Document type: Conference article (CA)
Conference name: 2013 32nd Chinese Control Conference (CCC)
Conference date: 26-28 July 2013
Conference location: Xi'an, China
Publisher: IEEE
Place of publication: Piscataway, NJ, USA
Material Identity Number: YXB3-1901-950
Abstract: It is known that the Karush-Kuhn-Tucker (KKT) theorem gives necessary conditions for the existence of optimal solutions to constrained optimization problems. It is shown that a class of discrete-time indefinite stochastic linear quadratic (LQ) optimal control problems with an inequality constraint on terminal state, can be transformed into a mathematical programming problem with equality and inequality constrains. In this paper, the KKT condition for the existence of optimal linear state feedback controllers is given. More importantly, the previous results on discrete-time stochastic LQ optimal control without constraints or with equality constraints, can be viewed as corollaries of the main theorems of this paper.
Number of references: 16
Inspec controlled terms: discrete time systems - linear quadratic control - mathematical programming - state feedback - stochastic systems
Uncontrolled terms: discrete-time indefinite stochastic linear quadratic optimal control - inequality constraint case - Karush-Kuhn-Tucker theorem - KKT theorem - constrained optimization problems - terminal state - mathematical programming problem - optimal linear state feedback controllers - discrete-time stochastic LQ optimal control
Inspec classification codes: C1340G Time-varying control systems - C1340D Discrete control systems - C1330 Optimal control - C1180 Optimisation techniques
Treatment: Theoretical or Mathematical (THR)
Discipline: Computers/Control engineering (C)
Database: Inspec
Copyright 2013, The Institution of Engineering and Technology
Title: Discrete-time indefinite stochastic linear quadratic optimal control: Inequality constraint case
Authors: Guiling Li1; Weihai Zhang2
Author affiliation: 1 Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
2 Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Source: Proceedings of the 32nd Chinese Control Conference (CCC)
Publication date: 2013
Pages: 2327-32
Language: English
Document type: Conference article (CA)
Conference name: 2013 32nd Chinese Control Conference (CCC)
Conference date: 26-28 July 2013
Conference location: Xi'an, China
Publisher: IEEE
Place of publication: Piscataway, NJ, USA
Material Identity Number: YXB3-1901-950
Abstract: It is known that the Karush-Kuhn-Tucker (KKT) theorem gives necessary conditions for the existence of optimal solutions to constrained optimization problems. It is shown that a class of discrete-time indefinite stochastic linear quadratic (LQ) optimal control problems with an inequality constraint on terminal state, can be transformed into a mathematical programming problem with equality and inequality constrains. In this paper, the KKT condition for the existence of optimal linear state feedback controllers is given. More importantly, the previous results on discrete-time stochastic LQ optimal control without constraints or with equality constraints, can be viewed as corollaries of the main theorems of this paper.
Number of references: 16
Inspec controlled terms: discrete time systems - linear quadratic control - mathematical programming - state feedback - stochastic systems
Uncontrolled terms: discrete-time indefinite stochastic linear quadratic optimal control - inequality constraint case - Karush-Kuhn-Tucker theorem - KKT theorem - constrained optimization problems - terminal state - mathematical programming problem - optimal linear state feedback controllers - discrete-time stochastic LQ optimal control
Inspec classification codes: C1340G Time-varying control systems - C1340D Discrete control systems - C1330 Optimal control - C1180 Optimisation techniques
Treatment: Theoretical or Mathematical (THR)
Discipline: Computers/Control engineering (C)
Database: Inspec
Copyright 2013, The Institution of Engineering and Technology
Title: Discrete-time indefinite stochastic linear quadratic optimal control: Inequality constraint case
Authors: Guiling Li1; Weihai Zhang2
Author affiliation: 1 Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
2 Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Source: Proceedings of the 32nd Chinese Control Conference (CCC)
Publication date: 2013
Pages: 2327-32
Language: English
Document type: Conference article (CA)
Conference name: 2013 32nd Chinese Control Conference (CCC)
Conference date: 26-28 July 2013
Conference location: Xi'an, China
Publisher: IEEE
Place of publication: Piscataway, NJ, USA
Material Identity Number: YXB3-1901-950
Abstract: It is known that the Karush-Kuhn-Tucker (KKT) theorem gives necessary conditions for the existence of optimal solutions to constrained optimization problems. It is shown that a class of discrete-time indefinite stochastic linear quadratic (LQ) optimal control problems with an inequality constraint on terminal state, can be transformed into a mathematical programming problem with equality and inequality constrains. In this paper, the KKT condition for the existence of optimal linear state feedback controllers is given. More importantly, the previous results on discrete-time stochastic LQ optimal control without constraints or with equality constraints, can be viewed as corollaries of the main theorems of this paper.
Number of references: 16
Inspec controlled terms: discrete time systems - linear quadratic control - mathematical programming - state feedback - stochastic systems
Uncontrolled terms: discrete-time indefinite stochastic linear quadratic optimal control - inequality constraint case - Karush-Kuhn-Tucker theorem - KKT theorem - constrained optimization problems - terminal state - mathematical programming problem - optimal linear state feedback controllers - discrete-time stochastic LQ optimal control
Inspec classification codes: C1340G Time-varying control systems - C1340D Discrete control systems - C1330 Optimal control - C1180 Optimisation techniques
Treatment: Theoretical or Mathematical (THR)
Discipline: Computers/Control engineering (C)
Database: Inspec
Copyright 2013, The Institution of Engineering and Technology
Title: Discrete-time indefinite stochastic linear quadratic optimal control: Inequality constraint case
Authors: Guiling Li1; Weihai Zhang2
Author affiliation: 1 Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
2 Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Source: Proceedings of the 32nd Chinese Control Conference (CCC)
Publication date: 2013
Pages: 2327-32
Language: English
Document type: Conference article (CA)
Conference name: 2013 32nd Chinese Control Conference (CCC)
Conference date: 26-28 July 2013
Conference location: Xi'an, China
Publisher: IEEE
Place of publication: Piscataway, NJ, USA
Material Identity Number: YXB3-1901-950
Abstract: It is known that the Karush-Kuhn-Tucker (KKT) theorem gives necessary conditions for the existence of optimal solutions to constrained optimization problems. It is shown that a class of discrete-time indefinite stochastic linear quadratic (LQ) optimal control problems with an inequality constraint on terminal state, can be transformed into a mathematical programming problem with equality and inequality constrains. In this paper, the KKT condition for the existence of optimal linear state feedback controllers is given. More importantly, the previous results on discrete-time stochastic LQ optimal control without constraints or with equality constraints, can be viewed as corollaries of the main theorems of this paper.
Number of references: 16
Inspec controlled terms: discrete time systems - linear quadratic control - mathematical programming - state feedback - stochastic systems
Uncontrolled terms: discrete-time indefinite stochastic linear quadratic optimal control - inequality constraint case - Karush-Kuhn-Tucker theorem - KKT theorem - constrained optimization problems - terminal state - mathematical programming problem - optimal linear state feedback controllers - discrete-time stochastic LQ optimal control
Inspec classification codes: C1340G Time-varying control systems - C1340D Discrete control systems - C1330 Optimal control - C1180 Optimisation techniques
Treatment: Theoretical or Mathematical (THR)
Discipline: Computers/Control engineering (C)
Database: Inspec
Copyright 2013, The Institution of Engineering and Technology
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