欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
多变量控制系统在结构形态上可以划分为方系统和非方系统,非方系统可进一步划分为胖系统和瘦系统.对瘦系统和胖系统,预测控制系统分别可能出现输出静差和输入稳态值不确定问题.本文从控制输入与被控输出稳态关系入手,将上述问题归结为非齐次线性方程组的相容性与唯一性问题.通过非齐次方程组解的判定定理分析了多变量预测控制系统稳态解出现相容性和唯一性问题的原因,并由此给出了双层结构控制策略及解决方案.上层稳态优化方法从理论上解决了瘦系统的相容性问题,并从胖系统的无穷多个相容解中找到最优解.下层集成控制输入目标的预测控制从根本上保证了胖系统控制输入稳态解的唯一性,并实现了方系统与非方系统预测控制在算法描述上的统一.仿真结果验证了本文提出的双层结构预测控制算法的有效性,即多变量预测控制系统稳态解既是相容的又是唯一的.
英文摘要：
The multi-variable control systems can be structurally classified into the square and non-square ones,with the latter further into fat and thin ones.For the fat and thin,the output offset and non-determinedness of the steady state input,respectively,can occur in predictive control systems.From the steady-state relationship between the control input and the controlled output,the two issues are tackled as the compatibility and uniqueness,respectively,of the nonhomogeneous linear equations set.The reason why the compatibility and uniqueness issues can arise is analyzed based on the determination theorem for non-homogeneous linear equations set,and the solutions based on the double-layer（two-layer） control structure are given.The upper level steady state optimization not only tackles the compatibility issue for the thin system,but also finds the optimal solution from the infinite many consistent ones for the fat system.The lower level predictive control algorithm,integrated with the control input target,guarantees the uniqueness of the steady state solution for fat system,and algorithmically unifies both the square and nonsquare systems.Simulation results have validated the effectiveness of the double-layered predictive control algorithm,i.e.,the steady state solutions of the multi-variable predictive control system are consistent and unique.
同期刊论文项目
同项目期刊论文
Stabilization via extended nonquadratic boundedness for constrained nonlinear systems in Takagi-Suge
Robust model predictive control for multiple time delay systems with polytopic uncert ainty descript
Improved robust model predictive control approach to systems with linear fractional transformation p
New formulation of dynamic output feedback robust model predictive control with guaranteed quadratic
An H-infinity Control Based Receding Horizon Control Scheme for Linear Systems Subject to Input Satu
Finite time stability and L2 gain analysis for switched linear systems with state-dependent switchin
Stabilization of linear systemsover networks with bounded packets loss and its use in model predicti
Improvements to the linear differential inclusion approach to stability analysis of linear systems w
Design of Saturation-Based Switching Anti-Windup Gains for the Enlargement of the Domain of Attracti
Real-time online monitoring of thermal efficiency in coal-fired power plant boiler based on coal hea
Model predictive control with dynamic pricing and probability inventory of a single supply chain uni
Model-based Predictive Control for Spatially-distributed Systems Using Dimensional Reduction Models.
Packet-loss-dependent stabilization of networked control systems with both network-induced delay and
Reduced precision solution criteria for nonlinear model predictive control with the feasibility- per
Model predictive controller design and implementation on FPGA with application to motor servo system
Moving horizon scheduling and state estimation for networked control systems with communication cons
Robust stability and stabilization of fractional order interval systems with coupling relationships:
Dynamic output feedback model predictive control for nonlinear systems represented by Hammerstein-Wi
Multi-priority rank steady-state target calculation in double-layered model predictive control by op
The existence and asymptotic behaviour of energy solutions to stochastic age-dependent population eq
A synthesis approach for output feedback robust model predictive control based-on input-output model
Compatibility and uniqueness analyses of steady state solution for multi-variable predictive control
Output feedback robust MPC with one free control move for the linear polytopic uncertain system with
Output Feedback Predictive Control With One Free Control Move for Nonlinear Systems Represented by a
A synthesis approach of distributed model predictive control for homogeneous multi-agent system with
DYNAMIC OUTPUT FEEDBACK ROBUST MPC USING GENERAL POLYHEDRAL STATE BOUNDS FOR THE POLYTOPIC UNCERTAIN
Mean-square dissipativity of numerical methods for a class of stochastic neural networks with fracti
期刊信息
位置：