scholarly journals The Control Layer in Open Mechanized Reasoning Systems: Annotations and Tactics

2001 ◽  
Vol 32 (4) ◽  
pp. 305-332
Author(s):  
Alessandro Armando ◽  
Alessandro Coglio ◽  
Fausto Giunchiglia ◽  
Silvio Ranise
2010 ◽  
Vol E93-C (12) ◽  
pp. 1713-1716
Author(s):  
Toshiaki KITAMURA ◽  
Yuya MATSUNAMI

1990 ◽  
Vol 26 (21) ◽  
pp. 1832
Author(s):  
J. Zou ◽  
A. Godinath ◽  
T. Akinwande ◽  
M.S. Shur

1990 ◽  
Vol 26 (14) ◽  
pp. 964
Author(s):  
J. Zou ◽  
A. Gopinath ◽  
T. Akinwande ◽  
M.S. Shur

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2115
Author(s):  
Mostafa Abdollahi ◽  
Jose Ignacio Candela ◽  
Andres Tarraso ◽  
Mohamed Atef Elsaharty ◽  
Elyas Rakhshani

Nowadays, modern power converters installed in renewable power plants can provide flexible electromechanical characteristics that rely on the developed control technologies such as Synchronous Power Controller (SPC). Since high renewable penetrated power grids result in a low-inertia system, this electromechanical characteristic provides support to the dynamic stability of active power and frequency in the power generation area. This goal can be achieved through the proper tuning of virtual electromechanical parameters that are embedded in the control layers of power converters. In this paper, a novel mathematical pattern and strategy have been proposed to adjust dynamic parameters in Renewable Static Synchronous Generators controlled by SPC (RSSG-SPC). A detailed dynamic modeling was obtained for a feasible design of virtual damping coefficient and virtual moment of inertia in the electrometrical control layer of RSSG-SPC’s power converters. Mathematical solutions, modal analysis outcomes, time-domain simulation results, and real-time validations of the test in IEEE-14B benchmark confirm that the proposed method is an effective procedure for the dynamic design of RSSG-SPC to provide these dynamic stability supports in grid connection.


2021 ◽  
pp. 135406882199025
Author(s):  
Patrick Cunha Silva ◽  
Brian F Crisp

Electoral systems vary in terms of the choice and influence they offer voters. Beyond selecting between parties, preferential systems allow for choices within parties. More proportional systems make it likely that influence over who determines the assembly’s majority will be distributed across relatively more voters. In response to systems that limit choice and influence, we hypothesize that voters will cast more blank, null, or spoiled ballots on purpose. We use a regression discontinuity opportunity in French municipal elections to test this hypothesis. An exogenously chosen and arbitrary cutpoint is used to determine the electoral rules municipalities use to select their assemblies. We find support for our reasoning—systems that do not allow intraparty preference votes and that lead to disproportional outcomes provoke vote spoilage. Rates of vote spoilage are frequently sufficient to change control over the assembly if those votes had instead been cast validly for the second-place party.


Author(s):  
Fangyi Li ◽  
Changjing Shang ◽  
Ying Li ◽  
Jing Yang ◽  
Qiang Shen

AbstractApproximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) supports such reasoning with sparse rule bases where certain observations may not match any existing fuzzy rules, through manipulation of rules that bear similarity with an unmatched observation. This differs from classical rule-based inference that requires direct pattern matching between observations and the given rules. FRI techniques have been continuously investigated for decades, resulting in various types of approach. Traditionally, it is typically assumed that all antecedent attributes in the rules are of equal significance in deriving the consequents. Recent studies have shown significant interest in developing enhanced FRI mechanisms where the rule antecedent attributes are associated with relative weights, signifying their different importance levels in influencing the generation of the conclusion, thereby improving the interpolation performance. This survey presents a systematic review of both traditional and recently developed FRI methodologies, categorised accordingly into two major groups: FRI with non-weighted rules and FRI with weighted rules. It introduces, and analyses, a range of commonly used representatives chosen from each of the two categories, offering a comprehensive tutorial for this important soft computing approach to rule-based inference. A comparative analysis of different FRI techniques is provided both within each category and between the two, highlighting the main strengths and limitations while applying such FRI mechanisms to different problems. Furthermore, commonly adopted criteria for FRI algorithm evaluation are outlined, and recent developments on weighted FRI methods are presented in a unified pseudo-code form, easing their understanding and facilitating their comparisons.


Author(s):  
Huiran Wang ◽  
Qidong Wang ◽  
Wuwei Chen ◽  
Linfeng Zhao ◽  
Dongkui Tan

To reduce the adverse effect of the functional insufficiency of the steering system on the accuracy of path tracking, a path tracking approach considering safety of the intended functionality is proposed by coordinating automatic steering and differential braking in this paper. The proposed method adopts a hierarchical architecture consisting of a coordinated control layer and an execution control layer. In coordinated control layer, an extension controller considering functional insufficiency of the steering system, tire force characteristics and vehicle driving stability is proposed to determine the weight coefficients of automatic steering and the differential braking, and a model predictive controller is designed to calculate the desired front wheel angle and additional yaw moment. In execution control layer, a H∞ steering angle controller considering external disturbances and parameter uncertainty is designed to track desired front wheel angle, and a braking force distribution module is used to determine the wheel cylinder pressure of the controlled wheels. Both simulation and experiment results show that the proposed method can overcome the functional insufficiency of the steering system and improve the accuracy of path tracking while maintaining the stability of the autonomous vehicle.


2021 ◽  
Vol 125 ◽  
pp. 101368
Author(s):  
Yi Lin ◽  
Jie Li ◽  
Yael Gertner ◽  
Weiting Ng ◽  
Cynthia L. Fisher ◽  
...  

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