Multiobjective optimal FLC driven hybrid mass damper system for torsionally coupled, seismically excited structures

Earthquake Engineering and Structural Dynamics

Volumn 31, Issue 12, 2002, Pages 2121-2139

  Ahlawat, A S ^a   Ramaswamy, A ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Fuzzy logic controller; Genetic algorithm; Hybrid mass damper; Multiobjective optimal control; Structural vibration control; Torsionally coupled structure

Indexed keywords

FUZZY CONTROL; GENETIC ALGORITHMS; STRUCTURES (BUILT OBJECTS); VIBRATIONS (MECHANICAL);

HYBRID MASS DAMPER (HMD) SYSTEMS;

EARTHQUAKE EFFECTS;

DAMPING; SEISMIC RESPONSE; STRUCTURAL RESPONSE;

EID: 0036891630     PISSN: 00988847     EISSN: None     Source Type: Journal    
DOI: 10.1002/eqe.209     Document Type: Article

References (28)

1. Structural control: Past, present, and future
2. Multiobjective optimal design of FLC driven hybrid mass damper for seismically excited structures
3. Multiobjective optimal structural vibration control using a fuzzy logic control system
4. Neural network and fuzzy logic in structural control
5. Shaking table test on seismic response control system by fuzzy optimal logic
6. Hybrid control of structures using fuzzy logic
7. Fuzzy control of structural vibration. An active mass system driven by fuzzy controller
8. Fuzzy logic control of bridge structures using intelligent semi-active seismic isolation systems
9. Using two branch tournament genetic algorithm for multiobjective design
10. Frequency domain optimal control strategies for aseismic protection
11. Fuzzy logic in control system: Fuzzy logic controller
12. Fuzzy logic in control system: Fuzzy logic controller
13. An overview of evolutionary algorithms in multiobjective optimization
14. Vibration control of tall buildings under seismic and wind loads
15. The role of control-structure interaction in protective system design
16. Elastic earthquake analysis of the torsionally coupled multistorey buildings
17. Optimization of control parameters for genetic algorithms
18. Empirically-derived population size and mutation rate guidelines for a algorithm with uniform crossover