scholarly journals STUDY OF GUANGZHOU HOUSE PRICE BUBBLE BASED ON STATE‐SPACE MODEL

2009 ◽  
Vol 13 (4) ◽  
pp. 287-298 ◽  
Author(s):  
Eddie Chi Man Hui ◽  
Qi Gu
Keyword(s):  
State Space ◽  
Household Income ◽  
State Space Model ◽  
House Price ◽  
Housing Price ◽  
Real Estate Market ◽  
Market Model ◽  
Space Model ◽  
Price Bubble ◽  
Key Factor

Previous literature has explored Guangzhou's real estate market bubble problem, by using the perspective of rent receipts to measure the fundamental housing value. Since there is high proportion of owner‐occupied property in Guangzhou; and that the household income is considered a key factor affecting housing price level, this article is from the perspective of household income, by the present asset market model, it sets up housing price model that analysis of the bubble phenomenon, and uses the state‐space model that can be estimated characteristics by unobservable variables. The article estimates the price bubble and analyzes the size of the bubble at different times. The housing price in Guangzhou from January 2004 to December 2008 is studied. The results concluded that the housing market bubble peaked in October 2007 at around 43% of the market housing price. Santruka Jau skelbtuose darbuose Guangžu nekilnojamojo turto rinkos burbulo problema nagrineta pasitelkus gaunamos nuomos perspektyva, siekiant nustatyti fundamentaliaja būsto verte. Kadangi nemaža dalis nuosavybes Guangžu mieste užimta savininku, o namu ūkiu pajamos laikomos esminiu būsto kainu lygi lemiančiu veiksniu, šiame straipsnyje pasirinkta namu ūkio pajamu perspektyva pagal esama turto rinkos modeli; sudarytas būsto kainu modelis, kuriuo remiantis nagrinejamas burbulo reiškinys, ir pasitelktas būsenu ir erdves modelis, kuris charakteristikas leidžia ivertinti pagal netiesioginius kintamuosius veiksnius. Straipsnyje vertinamas kainu burbulas ir analizuojamas burbulo dydis ivairiu metu. Nagrinejamos Guangžu būsto kainos nuo 2004 m. sausio iki 2008 m. gruodžio. Rezultatai rodo, kad būsto rinkos burbulas pika pasieke 2007 m. spali, apytikriai prie 43 % būstu rinkos kainos.

scholarly journals Identification of house price bubbles using user cost in a state space model

2015 ◽  
Vol 47 (56) ◽  
pp. 6088-6101 ◽  
Author(s):  
Hanxiong Zhang ◽  
Robert Hudson ◽  
Hugh Metcalf ◽  
Viktor Manahov
Keyword(s):  
State Space ◽  
State Space Model ◽  
House Price ◽  
User Cost ◽  
Space Model ◽  
Price Bubbles

Development of L1-norm sliding mode observer for sensor fault diagnosis of an industrial gas turbine

2021 ◽  
pp. 095965182199617
Author(s):  
Mahyar Akbari ◽  
Abdol Majid Khoshnood ◽  
Saied Irani
Keyword(s):  
Fault Detection ◽  
State Space ◽  
Gas Turbine ◽  
Sliding Mode ◽  
State Space Model ◽  
Sensor Fault ◽  
Space Model ◽  
Decision Logic ◽  
Sensor Fault Detection ◽  
Industrial Gas Turbine

In this article, a novel approach for model-based sensor fault detection and estimation of gas turbine is presented. The proposed method includes driving a state-space model of gas turbine, designing a novel L1-norm Lyapunov-based observer, and a decision logic which is based on bank of observers. The novel observer is designed using multiple Lyapunov functions based on L1-norm, reducing the estimation noise while increasing the accuracy. The L1-norm observer is similar to sliding mode observer in switching time. The proposed observer also acts as a low-pass filter, subsequently reducing estimation chattering. Since a bank of observers is required in model-based sensor fault detection, a bank of L1-norm observers is designed in this article. Corresponding to the use of the bank of observers, a two-step fault detection decision logic is developed. Furthermore, the proposed state-space model is a hybrid data-driven model which is divided into two models for steady-state and transient conditions, according to the nature of the gas turbine. The model is developed by applying a subspace algorithm to the real field data of SGT-600 (an industrial gas turbine). The proposed model was validated by applying to two other similar gas turbines with different ambient and operational conditions. The results of the proposed approach implementation demonstrate precise gas turbine sensor fault detection and estimation.

Modeling of CCLP in koryo extract production

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ji Chol ◽  
Ri Jun Il
Keyword(s):  
Process Control ◽  
Medical Care ◽  
State Space ◽  
State Space Model ◽  
The State ◽  
Space Model ◽  
Effective Components ◽  
Counter Current

Abstract The modeling of counter-current leaching plant (CCLP) in Koryo Extract Production is presented in this paper. Koryo medicine is a natural physic to be used for a diet and the medical care. The counter-current leaching method is mainly used for producing Koryo medicine. The purpose of the modeling in the previous works is to indicate the concentration distributions, and not to describe the model for the process control. In literature, there are no nearly the papers for modeling CCLP and especially not the presence of papers that have described the issue for extracting the effective components from the Koryo medicinal materials. First, this paper presents that CCLP can be shown like the equivalent process consisting of two tanks, where there is a shaking apparatus, respectively. It allows leachate to flow between two tanks. Then, this paper presents the principle model for CCLP and the state space model on based it. The accuracy of the model has been verified from experiments made at CCLP in the Koryo Extract Production at the Gang Gyi Koryo Manufacture Factory.

Reduced-Order State Space Model for Dynamic Phasors in Active Distribution Networks

2020 ◽  
Vol 11 (3) ◽  
pp. 1928-1941
Author(s):  
Huifang Wang ◽  
Kuan Jiang ◽  
Mohammad Shahidehpour ◽  
Benteng He
Keyword(s):  
State Space ◽  
State Space Model ◽  
Distribution Networks ◽  
Reduced Order ◽  
Space Model ◽  
Dynamic Phasors ◽  
Active Distribution Networks ◽  
Order State
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