1 Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2 Engineering Training Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China 3 Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China a [email protected], b [email protected] , c [email protected], d leijunwei@126...

In recent decades many researchers have studied on the damage assessment of structures after a seismic event. To assess the damage of structures under an earthquake, it is so important to study the correlations between earthquake parameters and damages of the structures. A lot of seismic parameters have been defined by researchers to characterize an earthquake. Spectral parameters of an earthqu...

Uncertain parameters of state-space models have always been a considerable problem. Consider Kalman filter (CKF) and desensitized Kalman filter (DKF) are two methods to solve this problem. Based on the sensitivity matrix respected to the uncertain parameter vector, a special DKF with an analytical gain is given and a new form of the CKF is derived. The mathematical equivalence between the speci...

A novel procedure for the estimating the response sensitivity to input parameters of a complex FE model is presented. The method is specifically directed toward problems involving high-dimensional input parameter spaces, as they are encountered during uncertainty analysis with complex, refined FEmodels. In these cases one is commonly faced with thousands of uncertain parameters and traditional ...

There are many problems in which the available information is not precise enough to justify the use of numbers. In many engineering problems we cannot precisely measure the exact values of loads (e.g. wind loads, weight of vehicle etc.), material constant (particularly in bimechanics, geomechanics, wall structures, concrete structures and composite structures) and geometric characteristic (tole...

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...

This paper considers the estimation and control of systems with parametric uncertainty. An approach that combines moving horizon estimation and model predictive control into a single min-max optimization is employed to estimate past and current values of the state, compute a sequence of optimal future control inputs, predict future values of the state, as well as estimate current values of unce...