Chronos: Feedback Control of a Real Database System Performance

This paper presents the fuzzy logic design and control for three finger gripper system to grasp an object. Two objectives are mainly considered in this work, which are the analysis of different membership types and the gripper performance with feedback and without feedback control to support current research findings. The comparison is also including different number of rules analysis as well as the fuzzy membership types. The simulation and analysis are carried by using MATLAB Simulink and SimMechanics toolboxes to analyze the system performance. The result shows that the gripper system with trapezoidal memberships achieved faster response and good grasp. Besides that, the proposed system with feedback has produced the best result to grasp the object with suitable torques and angles in comparison to the non-feedback gripper system.

Download Full-text

Control and Applications of Chaos

International Journal of Bifurcation and Chaos ◽

10.1142/s021812749700159x ◽

1997 ◽

Vol 07 (10) ◽

pp. 2175-2197 ◽

Cited By ~ 10

Author(s):

Celso Grebogi ◽

Ying–Cheng Lai ◽

Scott Hayes

Keyword(s):

Feedback Control ◽

Power Systems ◽

System Performance ◽

Chaotic Systems ◽

Electrical Power ◽

Random Initial Condition ◽

Initial Condition ◽

Chaotic Orbit ◽

Electrical Power Systems ◽

Dissipative Dynamical Systems

This review describes a procedure for stabilizing a desirable chaotic orbit embedded in a chaotic attractor of dissipative dynamical systems by using small feedback control. The key observation is that certain chaotic orbits may correspond to a desirable system performance. By carefully selecting such an orbit, and then applying small feedback control to stabilize a trajectory from a random initial condition around the target chaotic orbit, desirable system performance can be achieved. As applications, three examples are considered: (1) synchronization of chaotic systems; (2) conversion of transient chaos into sustained chaos; and (3) controlling symbolic dynamics for communication. The first and third problems are potentially relevant to communication in engineering, and the solution of the second problem can be applied to electrical power systems to avoid catastrophic events such as the voltage collapse.

Download Full-text

A methodology for database system performance evaluation

ACM SIGMOD Record ◽

10.1145/971697.602283 ◽

1984 ◽

Vol 14 (2) ◽

pp. 176-185 ◽

Cited By ~ 5

Author(s):

Haran Boral ◽

David J DeWitt

Keyword(s):

Performance Evaluation ◽

System Performance ◽

Database System ◽

System Performance Evaluation

Download Full-text

A TRANSACTION MODEL FOR PARALLEL PRODUCTION SYSTEMS PART II: MODEL AND EVALUATION

International Journal of Artificial Intelligence Tools ◽

10.1142/s0218213093000217 ◽

1993 ◽

Vol 02 (03) ◽

pp. 431-457

Author(s):

JAU-HWANG WANG ◽

JAIDEEP SRIVASTAVA ◽

WEI TEK TSAI

Keyword(s):

System Performance ◽

Analytical Modeling ◽

Production Systems ◽

Cost Effective ◽

Database System ◽

Parametric Modeling ◽

System Parameters ◽

Transaction Model ◽

Modeling Simulation ◽

Data Contention

Parallel-rule firing approaches have been proposed to improve the performance of production systems. However, few models have been developed to measure the performance of parallel-rule firing approaches. There are three approaches to evaluating system performance, namely, analytical modeling, simulation, and system prototyping or implementation. Analytical modeling has its advantage in being cost effective and providing a powerful tool for studying various aspects of system performance by varying system parameters. Since analytical modeling has been very successfully used in evaluating database system performance, we develop such a model for parallel production systems, where rule firing is modeled as a transaction. Both resource contention and data contention are modeled in detail and the performance of locking, timestamp and optimistic approaches is analyzed. We show that significant speedup can be gained in parallel rule execution. Our main contribution is in the insights into parallel-rule firing provided by parametric modeling.

Download Full-text