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| 1 | Observer and observer-based H_(∞)control of generalized Hamiltonian systems显示文摘This paper deals with observer design for generalized Hamiltonian systems and its applications. First, by using the systems’ structural properties, a new observer design method called Augment Plus Feedback is provided and two kinds of observers are obtained: non-adaptive and adaptive ones. Then, based on the obtained observer, H∞ control design is investigated for generalized Hamiltonian systems, and an observer-based control design is proposed. Finally, as an application to power systems, an observer and an observer-based H∞ control law are designed for single-machine infinite-bus systems. Simulations show that both the observer and controller obtained in this paper work very well. | WANGYuzhen GES.S. CHENGDaizhan | 2005 | Science in China(Series F)2005，48，2： | 3 |
| 2 | Stabilition of switched linear systems显示文摘 | ChengDaizhan Guo Lei Lin Yuandan Wang Yuan | 2005 | IEEE Transaction on Automatic Control2005，50，： | 1 |
| 3 | FEEDBACK REALIZATION OF HAMILTONIAN SYSTEMS显示文摘This paper investigates the relationship between state feedback and Hamiltonian realization. First, it is proved that a completely controllable linear system always has a state feedback state equation Hamiltonian realization. Necessary and sufficient conditions are obtained for it to have a Hamiltonian realization with natural output. Then some conditions for an affine nonlinear system to have a Hamiltonian realization are given. For generalized outputs, the conditions of the feedback, keeping Hamiltonian, are discussed. Finally, the admissible feedback controls for generalized Hamiltonian systems are considered. | CHENGDaizhan XIZairong | 2002 | Journal of Systems Science & Complexity2002，15，1： | 1 |
| 4 | Stability of switched linear systems via cascading显示文摘In order to investigate the problem of quadratic stability of switched linear systems via cascading, all the real invariant subspaces of a given linear system were investigated, and the result was used to provide comparable cascading form of switching models. Using the common cascading form, a common quadratic Lyapunov function (CQLF) can be found by the set of CQLF of diagonal blocks. | ZHUYahong CHENGDaizhan XIZairong | 2004 | 吉林大学学报(工学版)2004，34，3： | 0 |
| 5 | Feedback diagonal canonical form and its application to stabilization of nonlinear systems显示文摘This paper considers the problem of stabilization of a class of nonlinear systems, which are possibly of non-minimum phase. A new feedback-equivalent canonical form, called diagonal normal form, of linear control systems is proposed. Using it, the corresponding normal form of affine nonlinear control systems is obtained. Based on this new normal form and the design technique of center manifold, a new constructing method for stabilizing control is presented. Certain examples are included to demonstrate the design strategy of stabilizers. | CHENGDaizhan HUQingxi QINHuashu | 2005 | Science in China(Series F)2005，48，2： | 0 |
| 6 | ON COMPLEXITY OF POWER SYSTEMS显示文摘The power system is a classical example of complex systems. In this paper it is shown that the power industry in China is facing a tremendous challenge. The complexity in power systems is investigated as follows. First, the cascade failure in power systems is analyzed, and compared with sand-pile model. Next, we show that the agent-based modelling is a proper way for power network. Mathematically, the geometric dynamics and differential inclusion are useful tools for the stability analysis of large scale power systems. As for power market, the game theory and generalized control system model are proposed. For a complex power system, an evolutive model may be more accurate in description and analysis. Finally, certain newly developed numerical methods in the power system computation are introduced. Overall, we are convinced that the theorem of complexity, combined with modern control theory, may be the right way to answer the challenges faced by the power industry in China. | MAJin CHENGDaizhan HONGYiguang | 2003 | Journal of Systems Science & Complexity2003，16，3： | 0 |
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