Sampled-data iterative learning control (SILC) for singular systems is addressed for the first time. With the introduction of the constrained relative degree, an SILC algorithm combined with a feedback control law is ...Sampled-data iterative learning control (SILC) for singular systems is addressed for the first time. With the introduction of the constrained relative degree, an SILC algorithm combined with a feedback control law is proposed for singular systems. Convergence of the algorithm is proved in sup-norm, while the conventional convergence analysis is in λ-norm. The final tracking error uniformly converges to a small residual set whose level of magnitude depends on the system dynamics and the sampling-period. Due to inequalities to estimate the level of the existing results of SILC, convergence is guaranteed not only at the sampling instants but on the entire operation interval, so that the inter-sample behavior is guaranteed, which is more practical for real implementation.展开更多
There are many industries supporting Chinas economic development, among which forestry industry is one, which can not only support Chinas economic development, but also promote the construction of Chinas green ecologi...There are many industries supporting Chinas economic development, among which forestry industry is one, which can not only support Chinas economic development, but also promote the construction of Chinas green ecological health goal. With the increasing demand and standard of residents for forestry resources, the position and function of forest resources protection become more important. Only by strengthening forest resources protection can we promote the rapid development of Chinas economy. However, there are many shortcomings in the actual design scheme of forestry resources protection, which are inconsistent with the actual forestry development goals. Therefore, many strategies of moral resources protection are adjusted according to the characteristics of different regions according to local conditions, so as to truly achieve the goal of protecting the ecological environment scientifically.展开更多
文摘Sampled-data iterative learning control (SILC) for singular systems is addressed for the first time. With the introduction of the constrained relative degree, an SILC algorithm combined with a feedback control law is proposed for singular systems. Convergence of the algorithm is proved in sup-norm, while the conventional convergence analysis is in λ-norm. The final tracking error uniformly converges to a small residual set whose level of magnitude depends on the system dynamics and the sampling-period. Due to inequalities to estimate the level of the existing results of SILC, convergence is guaranteed not only at the sampling instants but on the entire operation interval, so that the inter-sample behavior is guaranteed, which is more practical for real implementation.
文摘There are many industries supporting Chinas economic development, among which forestry industry is one, which can not only support Chinas economic development, but also promote the construction of Chinas green ecological health goal. With the increasing demand and standard of residents for forestry resources, the position and function of forest resources protection become more important. Only by strengthening forest resources protection can we promote the rapid development of Chinas economy. However, there are many shortcomings in the actual design scheme of forestry resources protection, which are inconsistent with the actual forestry development goals. Therefore, many strategies of moral resources protection are adjusted according to the characteristics of different regions according to local conditions, so as to truly achieve the goal of protecting the ecological environment scientifically.
