CAJ | 학술논문

针对一类双线性参数化时变时滞系统，设计了一种新颖的自适应迭代学习控制策略，该策略利用信号置换思想与参数重组技术来有效处理系统中时变时滞项，引入微分-差分耦合型自适应律以解决系统中双线性参数化项。通过构建一个 Lyapunov-Krasovskii型复合能量函数证明了跟踪误差的收敛性以及所有信号的有界性。仿真实例结果表明该策略是有效且可行的。
침대일류쌍선성삼수화시변시체계통，설계료일충신영적자괄응질대학습공제책략，해책략이용신호치환사상여삼수중조기술래유효처리계통중시변시체항，인입미분-차분우합형자괄응률이해결계통중쌍선성삼수화항。통과구건일개 Lyapunov-Krasovskii형복합능량함수증명료근종오차적수렴성이급소유신호적유계성。방진실례결과표명해책략시유효차가행적。
For a class of bilinear parameterized systems with time-varying delay,a novel adaptive iterative learning control strategy is proposed.The time-varying delay term is solved via the sig-nal replacement theory and the parameter recombination technique.For the bilinear parameterized term,a differential-difference couple-type updating law is imported. Then,convergence of the tracking error and finiteness of all signals are proved via constructing a Lyapunov-Krasovskii composite energy function.Finally,the simulation example is carried out to illustrate the validity and feasibility of the designed strategy.