This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hype...This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hypersonic vehicles.In order to increase the control amount,this online control legislation makes use of model predictive control(MPC)that is based on the concept of iterative learning control(ILC).By using offline data to decrease the linearized model’s faults,the strategy may effectively increase the robustness of the control system and guarantee that disturbances can be suppressed.An adaptive fault observer is created based on the suggested ILMPC approach in order to enhance overall fault tolerance by estimating and compensating for actuator disturbance and fault degree.During the derivation process,a linearized model of longitudinal dynamics is established.The suggested ILMPC approach is likely to be used in the design of hypersonic vehicle control systems since numerical simulations have demonstrated that it can decrease tracking error and speed up convergence when compared to the offline controller.展开更多
Aiming at the pulse response sequence of a kind of repetitive linear discrete-time singular systems unavailable,the paper explores a data-driven adaptive iterative learning control(DDAILC)strategy that interacts with ...Aiming at the pulse response sequence of a kind of repetitive linear discrete-time singular systems unavailable,the paper explores a data-driven adaptive iterative learning control(DDAILC)strategy that interacts with the pulse response iterative correction(PRIC).The mechanism is to formulate the correction performance index as a linear summation of the quadratic correction error of the pulse response and the quadratic tracking error.The correction algorithm of the pulse response arrives and the correction error goes down in a monotonic way.It also discusses the conditional relationship between the declining rate of the correction error and the correction ratio.A DDAILC algorithm is designed by means of substituting the exact pulse response of the gain-optimized iterative learning control(GOILC)with its approximated one updated in the correction algorithm.The convergences regarding tracking error and correction error are obtained monotonically.Finally,numerical simulation verifies the validity and effectiveness.展开更多
The intestinal immune system maintains tolerance to harmless food proteins and gut microbiota through peripherally derived RORγt+Tregs(pTregs),which prevent food intolerance and inflammatory bowel disease.Recent stud...The intestinal immune system maintains tolerance to harmless food proteins and gut microbiota through peripherally derived RORγt+Tregs(pTregs),which prevent food intolerance and inflammatory bowel disease.Recent studies suggested that RORγt+antigen-presenting cells(APCs),which encompass rare dendritic cell(DC)subsets and type 3 innate lymphoid cells(ILC3s),are key to pTreg induction.Here,we developed a mouse with reduced RORγt+APCs by deleting a specific cis-regulatory element of Rorc encoding RORγt.Single-cell RNA sequencing and flow cytometry analyses confirmed the depletion of a RORγt+DC subset and ILC3s.These mice showed a secondary reduction in pTregs,impaired tolerance to oral antigens,and an increase in T helper(Th)2 cells.Conversely,ILC3-deficient mice showed no pTregs or Th2 cell abnormalities.Lineage tracing revealed that RORγt+DCs share a lymphoid origin with ILC3s,consistent with their similar phenotypic traits.These findings highlight the role of lymphoid RORγt+DCs in maintaining intestinal immune balance and preventing conditions like food allergies.展开更多
基金supported by the National Natural Science Foundation of China(12072090).
文摘This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hypersonic vehicles.In order to increase the control amount,this online control legislation makes use of model predictive control(MPC)that is based on the concept of iterative learning control(ILC).By using offline data to decrease the linearized model’s faults,the strategy may effectively increase the robustness of the control system and guarantee that disturbances can be suppressed.An adaptive fault observer is created based on the suggested ILMPC approach in order to enhance overall fault tolerance by estimating and compensating for actuator disturbance and fault degree.During the derivation process,a linearized model of longitudinal dynamics is established.The suggested ILMPC approach is likely to be used in the design of hypersonic vehicle control systems since numerical simulations have demonstrated that it can decrease tracking error and speed up convergence when compared to the offline controller.
基金supported by the National Natural Science Foundation of China(619733380).
文摘Aiming at the pulse response sequence of a kind of repetitive linear discrete-time singular systems unavailable,the paper explores a data-driven adaptive iterative learning control(DDAILC)strategy that interacts with the pulse response iterative correction(PRIC).The mechanism is to formulate the correction performance index as a linear summation of the quadratic correction error of the pulse response and the quadratic tracking error.The correction algorithm of the pulse response arrives and the correction error goes down in a monotonic way.It also discusses the conditional relationship between the declining rate of the correction error and the correction ratio.A DDAILC algorithm is designed by means of substituting the exact pulse response of the gain-optimized iterative learning control(GOILC)with its approximated one updated in the correction algorithm.The convergences regarding tracking error and correction error are obtained monotonically.Finally,numerical simulation verifies the validity and effectiveness.
文摘The intestinal immune system maintains tolerance to harmless food proteins and gut microbiota through peripherally derived RORγt+Tregs(pTregs),which prevent food intolerance and inflammatory bowel disease.Recent studies suggested that RORγt+antigen-presenting cells(APCs),which encompass rare dendritic cell(DC)subsets and type 3 innate lymphoid cells(ILC3s),are key to pTreg induction.Here,we developed a mouse with reduced RORγt+APCs by deleting a specific cis-regulatory element of Rorc encoding RORγt.Single-cell RNA sequencing and flow cytometry analyses confirmed the depletion of a RORγt+DC subset and ILC3s.These mice showed a secondary reduction in pTregs,impaired tolerance to oral antigens,and an increase in T helper(Th)2 cells.Conversely,ILC3-deficient mice showed no pTregs or Th2 cell abnormalities.Lineage tracing revealed that RORγt+DCs share a lymphoid origin with ILC3s,consistent with their similar phenotypic traits.These findings highlight the role of lymphoid RORγt+DCs in maintaining intestinal immune balance and preventing conditions like food allergies.
