Remarks on optimal control and state estimation of a class of linear time-invariant descriptor-variable control systems

1992 ◽  
Vol 9 (2) ◽  
pp. 103-111
Author(s):  
E. Y. IBRAHIM ◽  
V. LOVASS-NAGY ◽  
R. MUKUNDAN ◽  
R. J. SCHILLING
Keyword(s):  
Optimal Control ◽  
State Estimation ◽  
Control Systems ◽  
Linear Time ◽  
Linear Time Invariant ◽  
Variable Control ◽  
Time Invariant

scholarly journals Data-Driven Optimal Control of Linear Time-Invariant Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 7191-7196
Author(s):  
Dzmitry Kastsiukevich ◽  
Natalia Dmitruk
Keyword(s):  
Optimal Control ◽  
Linear Time ◽  
Data Driven ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Time Invariant

Near Energy Optimal Control Allocation for Dual-Input Over-Actuated Systems

2016 ◽  
Author(s):  
Molong Duan ◽  
Chinedum Okwudire
Keyword(s):  
Optimal Control ◽  
Optimal Allocation ◽  
Linear Time ◽  
Control Allocation ◽  
Static System ◽  
Time Step ◽  
Control Effort ◽  
Linear Time Invariant ◽  
Time Invariant ◽  
Feed Drive System

This paper proposes a method for near energy optimal allocation of control effort in dual-input over-actuated systems using a linear time-invariant (LTI) controller. The method assumes a quadratic energy cost functional, and the non-causal energy optimal control ratio within the redundant actuation space is defined. Near energy optimal control allocation is addressed by using a LTI controller to align the control inputs with a causal approximation of the energy optimal control ratio. The use of a LTI controller for control allocation leads to low computation burden compared to techniques in the literature which require optimization at each time step. Moreover, the proposed method achieves broadband, near optimal control allocation, as opposed to traditional allocation methods which make use of a static system model for control allocation. The proposed method is validated through simulations and experiments on an over-actuated hybrid feed drive system. Significant improvements in energy efficiency without sacrificing positioning performance are demonstrated.

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