supported by the National Natural Science Foundation of China(Nos.F010114-60974140,61273135)
In this paper, a quasi-Newton-type optimized iterative learning control (ILC) algorithm is investigated for a class of discrete linear time-invariant systems. The proposed learning algorithm is to update the learnin...
supported by the Science and Engineering Research Council (SERC) Research Grant (No. 092 101 00558)
In this paper, we formulate and explore the characteristics of iterative learning in ballistic control problems. The iterative learning control (ILC) theory provides a suitable framework for derivations and analysis...
Most of the existing iterative learning control algorithms proposed for time-delay systems are based on the condition that the time-delay is precisely available, and the initial state is reset to the desired one or a ...
supported by the National Natural Science Foundation of China(No.60727002,60774003,60921001,90916024);the COSTIND(No.A2120061303);the National 973 Program(No.2005CB321902)
This paper deals with the iterative learning control (ILC) design for multiple-input multiple-output (MIMO),time-delay systems (TDS).Two feedback ILC schemes are considered using the so-called two-dimensional ...
supported by the General Program (No.60774022);the State Key Program of National Natural Science Foundation of China(No.60834001);the State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University (No.RCS2009ZT011)
In this paper, iterative learning control (ILC) design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models (HOLM). An HOlM formulated as...
This paper presents the application of iterative learning control (ILC) to compensate hysteresis in a piezoelectric actuator. The proposed controller is a hybrid of proportional-integral-differential (PID) control, wh...
supported by the National Natural Science Foundation of China (No.60774023);Hunan Provincial Natural Science Foundation (No.06JJ50141)
Deficiencies of the performance-based iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design o...
The research work was supported bythe National Natural Science Foundation of China (No .60474005,60274034) .
This paper addresses the design problem of robust iterative learning controllers for a class of linear discrete-time systems with norm-bounded parameter uncertainties. An iterative learning algorithm with current cycl...
An iterative learning control scheme is developed to the traffic densitycontrol in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligentcontrol scheme guarantees the asymptotic conv...
This work was supported by the National Natural Science Foundation of China (No. 60274055)
In the procedure of the steady-state hierarchical optimization with feedback for large-scale industrial processes, a sequence of set-point changes with different magnitudes is carried out on the optimization layer. To...