- Evaluation and Optimization Models
- Stability and Control of Uncertain Systems
- Advanced Decision-Making Techniques
- Adaptive Control of Nonlinear Systems
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Neural Networks Stability and Synchronization
- Industrial Technology and Control Systems
- Control Systems and Identification
- Value Engineering and Management
- Control and Stability of Dynamical Systems
- Numerical methods for differential equations
- Rough Sets and Fuzzy Logic
- Nonlinear Dynamics and Pattern Formation
- Evaluation Methods in Various Fields
- Advanced Database Systems and Queries
- Advanced Control Systems Optimization
- Financial Distress and Bankruptcy Prediction
- stochastic dynamics and bifurcation
- Extenics and Innovation Methods
- Credit Risk and Financial Regulations
- Educational Technology and Assessment
- Astronomical Observations and Instrumentation
- Library Collection Development and Digital Resources
- Occupational Health and Safety Research
Xi'an University of Architecture and Technology
2008-2020
Colorado School of Mines
2020
University of Minnesota, Duluth
2020
University of Jinan
2013-2017
Jiangxi University of Finance and Economics
2017
Jinan University
2013
Nanchang Hangkong University
2012
Shaoguan University
2011
Xi'an University of Science and Technology
2009-2010
Shanghai Jiao Tong University
2008
Abstract This paper investigates the event‐triggered control of linear systems with saturated state feedback and observer‐based feedback, respectively. The problem simultaneously deriving stabilizing controllers tackling saturation nonlinearity is cast into a standard matrix inequalities problem. Key topics are studied, such as observer design synthesis. Important issues touched on, including existence positive lower bound for inter‐event times, self‐triggered algorithms.
From the perspective of large‐scale system, a complex dynamical network can be regarded as interconnected system with node subsystem and link subsystem, which implies that are two main bodies behaviors network. Therefore, whole stability is influenced by not only dynamics but also subsystem. According to above view, wholly asymptotical (WAS) defined in this paper for model differential equations. The WAS used describe achieves when asymptotic Lyapunov sense. For network, corresponding...
This paper described the present risks existing in subway construction and proposed idea that reliability theory can be applied field of construction. Based on this, a parallel-series model risk control system was established. According to required target reliability, combining with distribution theory, reliabilities each subsystem constituted determined. Aiming at basic events subsystem, average allocation method taken solve an example given. studies showed successfully fulfill optimization...
This paper investigates the input-to-state stable in mean (ISSiM) property of switched stochastic nonlinear (SSN) systems with an improved average dwell time (ADT) method two cases: (i) all constituent subsystems are ISSiM and (ii) parts ISSiM. First, ADT for stability SSN is introduced. Then, based on that not only a new result whose presented, but also such which established. In comparison existing ones, main results obtained this have some advantages. Finally, illustrative example...
Time, cost, quality, and safety, with mutual influence, are the four major control items for project management. The best solution a is to achieve high quality low cost in proper time limit without safe accident. Based on comprehensive limitations above, an integrated optimization model build up, which can balance construction time-cost-quality-safety systematically different risk level order archive most satisfactory goals or several approximately perfect plans as alternatives. Through...
This paper investigates the stability of switched stochastic continuous-time nonlinear systems in two cases:(1) all subsystems are global asymptotically exponentially stable mean (GASiM);(2) both GASiM and unstable coexist, proposes a number new results on analysis.Firstly, an improved average dwell time (ADT) method is established for system by extending our previous method.Especially, mode-dependent (MDADT) whose quadratically also obtained.Secondly, based ADT MDADT methods, several...
General contracted project is a very complicated system. The risk of general contractor gets greater and with the technology free trade pressure after China enters WTO, so how to escape disperse becomes hot topic. Risk warning model valuable analysis because it can make contractors have management capacity. A new method analyze proposed, which uses radial basis function (RBF) neural network establish model. analytical hierarchy process (AHP) carried out determine key factors, are used as...
Equipment is the foundation and precondition of survival enterprises, advanced level update problem which directly affect enterprise's development, also are paid more attention. Based on network model, this paper studied construction equipment, through changing equipment to shortest path graph theory, so as solve selection renewal scheme ensure total cost replacement minimum in service life. Compared traditional method renewal, possesses intuitive. Through a instance analysis concrete mixer...
In this paper, a novel extended-neural-system (ENS) is presented for class of single-input-single-output (SISO) uncertain nonlinear systems. The ENS consists one Back Propagation (BP) neural network, two scalers and saturator. By combining the with Lyapunov stability analysis, we propose an adaptive control scheme to guarantee that all signals in closed-loop system are uniformly ultimately bounded (UUB). steady process, weight parameters BP network trained advance via offline data....
The depreciation of machinery and equipment building construction, as an important factor, always plagues the development their enterprises; How to extract effectively reasonably for construction is a problem faced by businesses. In this paper, gray relational theory used analysis different programs author, then author selects best program from all programs. time value money, service life span other factors are considered in paper. A theoretical basis provided enterprise fast through these...
This paper investigates the input/output-to-state stable in mean (IOSSiM) property of switched stochastic nonlinear (SSN) systems. First, we present a new IOSSiM result for SSN systems whose subsystems are by applying an improved ADT method. Second, extending method to unforced nominal which parts stable, establish stability analysis result. It should be pointed out that obtained results have two advantages over existing results, one is conditions simplified, other lower bound (τ * <inf...
Safety risks management of safety potential information and hazard sources has been taken in Construction process. It is the most important measure to solve current situation that accidents frequent Chinese projects. The main reasons were find out D-S evidence theory multi-source fusion method was used reduce accident rate this paper. Through analyzing predicting engineering data human, machine, environment four aspects Construction, prediction model built management, possibility dangerous...
This article has been retracted by the publisher.
With regard to the NC grinder technology procurement project of a machinery , according large number data this paper makes use The AHP establish mechanical plant model.The third layer (Tender licensors) is taken as evaluation indicators.Based on relationship between production and economic benefits, with establishment judgment matrix integrated Satty largest eigenvector method, it determines relative importance (weights).Calculated through best program can be determined, which provides...
In project management experience, with the risk factors continuously increasing, has become one of main reasons leads to defeat. As managers project, they should pay more attention than ever. After surveying uncertainties and hidden in whole process construction, this paper comprehensively describes constructs a decision table, then reduces it rough set theory obtain minimal decision-making rules. With help new approach, implied knowledge can be explored support investor evaluate forecast...
Risk management for general contract project is well experienced task, which must deal with much more qualitative factors that easy influenced by individuals, so the objectivity cannot be guaranteed. A novel method proposed in order to overcome shortcomings, use clustering analysis evaluate bidding risk. An optimal objective function based model designed explore data collected from completed projects. Mixed scale employed handle and quantitative without converting respectively. So individual...