Optimal Tracking Problem for Stochastic Linear Using Exponential Performance Criterion

Author(s):  
Hung-Ching Lu ◽  
Chien-Sen Huang
2020 ◽  
Vol 10 (5) ◽  
pp. 1686
Author(s):  
Yung-Yue Chen ◽  
Chun-Yen Lee ◽  
Shao-Han Tseng ◽  
Wei-Min Hu

For energy conservation, nonlinear-optimal-control-law design for marine surface vessels has become a crucial ocean technology for the current ship industry. A well-controlled marine surface vessel with optimal properties must possess accurate tracking capability for accomplishing sailing missions. To achieve this design target, a closed-form nonlinear optimal control law for the trajectory- and waypoint-tracking problem of autonomous marine surface vessels (AUSVs) is presented in this investigation. The proposed approach, based on the optimal control concept, can be effectively applied to generate control commands on marine surface vessels operating in sailing scenarios where ocean environmental disturbances are random and unpredictable. In general, it is difficult to directly obtain a closed-form solution from this optimal tracking problem. Fortunately, by having the adequate choice of state-variable transformation, the nonlinear optimal tracking problem of autonomous marine surface vessels can be converted into a solvable nonlinear time-varying differential equation. The solved closed-form solution can also be acquired with an easy-to-implement control structure for energy-saving purposes.


Author(s):  
Michael C. Reynolds ◽  
Peter H. Meckl

This work presents a novel technique for the solution of an optimal input for trajectory tracking. Many researchers have documented the performance advantages of command shaping, which focuses on the design of an optimal input. Nearly all research in command shaping has been centered on the point-to-point motion control problem. However, tracking problems are also an important application of control theory. The proposed optimal tracking technique extends the point-to-point motion control problem to the solution of the tracking problem. Thus, two very different problems are brought into one solution scheme. The technique uses tolerances on trajectory following to meet constraints and minimize either maneuver time or input energy. A major advantage of the technique is that hard physical constraints such as acceleration or allowable tracking error can be directly constrained. Previous methods to perform such a task involved using various weightings that lack physical meaning. The optimal tracking technique allows for fast and efficient exploration of the solution space for motion control. A solution verification technique is presented and some examples are included to demonstrate the technique.


1979 ◽  
Vol 101 (2) ◽  
pp. 157-161 ◽  
Author(s):  
R. O. Hughes

Using the disciplines of Modern Control Theory, an optimal tracking control for a point focusing solar concentrator is derived. By converting the tracking problem into a regulator problem with a sun rate input a very low pointing error is achieved. A representative example with a corresponding computer simulation is presented.


2008 ◽  
Vol 372 (15) ◽  
pp. 2640-2644 ◽  
Author(s):  
Daniel R. Creveling ◽  
Philip E. Gill ◽  
Henry D.I. Abarbanel

1992 ◽  
Vol 30 (2) ◽  
pp. 426-439 ◽  
Author(s):  
Ofer Zeitouni ◽  
Moshe Zakai

1994 ◽  
Vol 32 (4) ◽  
pp. 1194-1194 ◽  
Author(s):  
Ofer Zeitouni ◽  
Moshe Zakai

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