- Publications
- Influence
Claim Your Author Page
Ensure your research is discoverable on Semantic Scholar. Claiming your author page allows you to personalize the information displayed and manage publications (all current information on this profile has been aggregated automatically from publisher and metadata sources).
A novel, fully decentralized strategy to coordinate charge operation of electric vehicles is proposed in this paper. Based on stochastic switching control of on-board chargers, this strategy ensures… Continue Reading
Abstract The coefficients of a linear system, even if it is a part of a block-oriented nonlinear system, normally satisfy some linear algebraic equations via Hankel matrices composed of impulse… Continue Reading
Abstract Regularization of simple linear regression models for system identification is a recent much-studied problem. Several parameterizations (“kernels”) of the regularization matrix have been… Continue Reading
Abstract In this work, we study the multiple kernel based regularized system identification with the hyper-parameter estimated by using the Stein’s unbiased risk estimators (SURE). To approach the… Continue Reading
IEEE Conference on Norbert Wiener in the 21st…
Wiener filters laid a foundation for optimal signal estimation under stochastic noises and have influenced development of filtering technologies in signal processing, estimation, identification, and… Continue Reading
As a critical subsystem in electric vehicles and smart grids, a battery energy storage system plays an essential role in enhancement of reliable operation and system performance. In such… Continue Reading
ABSTRACTSystem identification is a mature research area with well established paradigms, mostly based on classical statistical methods. Recently, there has been considerable interest in so called k...
In this paper, we study extended linear regression approaches for quantum state tomography based on regularization techniques. For unknown quantum states represented by density matrices, performing… Continue Reading
In this paper, we study extended linear regression approaches for quantum state tomography based on regularization techniques. For unknown quantum states represented by density matrices, performing… Continue Reading
Abstract The paper considers the recursive identification of Hammerstein systems with noisy output, while its input may or may not be corrupted by noise. The system in the latter case is usually… Continue Reading