Optimization of closed-loop poles for robust constrained control

2015 ◽  
Author(s):  
Frantisek Gazdos ◽  
Jiri Marholt
Keyword(s):  
Closed Loop ◽  
Constrained Control

Robust state-constrained control design for nonlinear systems with uncertainties using a new barrier Lyapunov function

2017 ◽  
Vol 40 (12) ◽  
pp. 3489-3497 ◽  
Author(s):  
Jianguo Guo ◽  
Zhenxin Feng ◽  
Jun Zhou
Keyword(s):  
Nonlinear Systems ◽  
Lyapunov Functions ◽  
Control Algorithm ◽  
Closed Loop ◽  
Constrained Control ◽  
Time Varying ◽  
Initial State ◽  
External Disturbances ◽  
Attitude Tracking ◽  
Barrier Lyapunov Functions

In this paper, a robust state-constrained control algorithm is proposed by introducing time-varying barrier Lyapunov functions (BLF) for nonlinear systems with uncertainties. Novel time-varying symmetric/asymmetric forms of error barrier functions are investigated in order to relax the requirements of the initial state compared with existing BLF-based literatures. By integrating the proposed time-varying BLF method with the backstepping technique, constraint satisfaction is achieved and signals in closed-loop are uniform asymptotically stable. In addition, the extended state observer technique is utilized to prevent the constraint violation during the transient phase and strengthen the robustness of the control system in the presence of uncertainties. Numerical simulations are implemented to illustrate the attitude tracking performance obtained from the proposed method for a homing missile with angle of attack constraint, parametric uncertainties and external disturbances.

scholarly journals Helicopter Control Energy Reduction Using Moving Horizontal Tail

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Tugrul Oktay ◽  
Firat Sal
Keyword(s):  
Flight Control ◽  
Control Strategy ◽  
Closed Loop ◽  
Energy Savings ◽  
Optimization Method ◽  
Constrained Control ◽  
Flight Control System ◽  
Helicopter Control ◽  
Helicopter Flight ◽  
Output Variance

Helicopter moving horizontal tail (i.e., MHT) strategy is applied in order to save helicopter flight control system (i.e., FCS) energy. For this intention complex, physics-based, control-oriented nonlinear helicopter models are used. Equations of MHT are integrated into these models and they are together linearized around straight level flight condition. A specific variance constrained control strategy, namely, output variance constrained Control (i.e., OVC) is utilized for helicopter FCS. Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated. Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA). In order to observe improvement in behaviors of classical controls closed loop analyses are done.

Intestinal Bacteriology of Closed Loop, Strangulated Obstruction in Dogs.

1961 ◽  
Vol 41 (3) ◽  
pp. 245-250 ◽  
Author(s):  
George H. Bornside ◽  
Isidore Cohn
Keyword(s):  
Closed Loop

The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

2012 ◽  
Vol 220 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Sandra Sülzenbrück
Keyword(s):  
Empirical Research ◽  
Visual Feedback ◽  
Closed Loop ◽  
Motor Planning ◽  
Visual Input ◽  
Closed Loop Control ◽  
Loop Control ◽  
Feedback Type ◽  
Effective Use ◽  
The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

Generalized full/partial closed loop transmit diversity algorithm for WCDMA

2003 ◽  
Vol 14 (5) ◽  
pp. 471-477
Author(s):  
Dejan M. Novakovic ◽  
Markku J. Juntti ◽  
Miroslav L. Dukic
Keyword(s):  
Closed Loop ◽  
Transmit Diversity
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