应HIT-INSA 中法生物医学图像联合研究中心刘宛予教授的邀请，在我校国际化基金的支持下，国际知名学者Stanilaw Tarasiewicz访问我校，商谈学生联合培养和合作科研事宜，并作系列讲座。
Stanilaw Tarasiewicz is Full professor at Laval University, in Canada, Head of international collaboration office and Director of the Laboratory of Complex Automation and Mechatronics.
He is well known internationally in several aspects of Complex Automation and Biomechatronics, such as Mathematical Model, Numerical Simulation, Dynamic Optimization, Instrumentation, In-line Identification, System-Controller Communication and Visualization, Optimal Control and New Sliding Mode Control.
He is board member of many scientific committees of Journals and International Conferences, and recieved many scientific awards. He has 193 Journal publications, 4 Books,3 Patents, 96 Conference publications, 64 Technical reports.
Stanilaw Tarasiewicz教授讲座安排如下，欢迎全校师生参加：
（1）2008-06-12，2 :30，机械楼1009
CASE STUDY FOR WOOD DRYING SYSTEM AND CLINKER ROTARY KILN （1）
（2）2008-06-12，3 :30，机械楼1009
CASE STUDY FOR WOOD DRYING SYSTEM AND CLINKER ROTARY KILN （2）
n The development of control strategies in order to achieve increased productivity and energy saving in Wood Drying Systems ( WDS ) and/or Clinker Rotary Kiln ( CRK ) is synchronous with advances in mathematical modeling, numerical simulation and on-line identification of these systems.
n Therefore, in WDS and CRK processes, the physical phenomena can be regarded as heat that is transferred from air (gas) to the solid element (wood or clinker). Based on this mechanism, a considerable volume of publications have been carried out from the modeling and simulation point of view.
n Some authors have considered that WDS and/or CRK can be treated as a lumped-parameter system and its dynamic behaviors can be described by the input-output transfer functions.
n We know that developing a dynamic mathematical model which is practical enough for control application is not a simple undertaking, and too many simplifying assumptions would take the mathematical model further away from the real situation.
n As far as the WDS and/or CRK are concerned, the most crucial factors for good product quality are the temperature values at the boundary conditions (enters and end of the system) and the temperature profiles along the kiln (WDS and/or CRK).
n The temperature distribution models along the kiln can be obtained by using the control volume method.
n Therefore, to create pre-defined identification and on-line identification (OLI) procedures in the case of incomplete information, we suggest organizing the real time measuring and simulation processes as a set of needed operating functions (OFs). Each one of these OFs needs to be represented by proper physical values (heat transfer coefficients, thermal conductivity coefficients, etc.) and some state variables (system temperatures, mass displacement of all components, etc.)
n The fundamental experiment has to be performed in the typical configuration of the real systems in order to verify the drying behavior of the CRK and the WDS.
n In this approach, we consider that the structures of the mathematical models (for WDS and CRS) change with the effects of physical phenomena and are attached to the percentage of the heating energy needed during the drying processes.
n These simulations based on the computation of dedicated partial differential equations (PDEs) of systems (WDS and/or CRK) quite often involve repeating solutions to find the adequate value of the state variables. In other words, the numerical solution of the PDFs, which corresponds to the measured temperature profiles of the taken system, can be decomposed into the so called regulated variables at the defined boundary conditions. The accuracy of these solutions has to be evaluated by the OLI system.
（3）2008-06-13，9 :00，科学园2A栋714会议室
State Space Multiple Leaves Representations of Complex Systems:
The basic properties of system theory. （1）
（3）2008-06-13，10 :00，科学园2A栋714会议室
State Space Multiple Leaves Representations of Complex Systems:
The basic properties of system theory. （2）
The purpose of this presentation is to provide a reasonable comprehensive transition from the linear time-invariant systems to the linear time-varying systems at a level comparable to the state space multiple leaves representation. In this regard, the preliminary works are dedicated to the on-line identification procedures of a class of complex system. This class of systems is represented by a mechatronic point of view, i.e. communication, calculation, monitoring, linking and state-plan trajectories mapping. For the case in which both calculation and monitoring processes are used, these identification procedures show which type of state-plan is more attractive on KC, or KR parameters. To complete the on-line identification procedures with a controller tuning of the model parameters, it was necessary to extend the sliding mode’s theorem to the case of multiple leaves state-plan, allowing limitation of short-time instability analysis.