Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
Regular price
€235.60
14 days return policy
Shipping & Delivery
A01=Guanrong Chen
A01=Trung Tat Pham
adaptive
adaptive control techniques
advanced fuzzy control design
Ai Bi
Asymptotically Stable
Author_Guanrong Chen
Author_Trung Tat Pham
base
Category=UYQ
computational intelligence
Control Rule Base
controller
Conventional Pi
Dynamic Fuzzy System
engineering applications
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
function
Fuzzy Control
Fuzzy Control System
Fuzzy Controller
Fuzzy Logic
Fuzzy Logic Controller
Fuzzy Logic Rule Base
Fuzzy Modeling
Fuzzy PD
Fuzzy PD Controller
Fuzzy Pi
Fuzzy Pid Controller
Fuzzy Relation
Fuzzy Rules
Fuzzy Subset
gain
intelligent systems
Interval Matrix
membership
Membership Functions
modeling
motor
nonlinear system analysis
PD Controller
Pi Controller
rule
servo
Set Point Tracking
Sharpness Index
uncertainty modeling
Product details
- ISBN 9780849316586
- Weight: 625g
- Dimensions: 156 x 234mm
- Publication Date: 27 Nov 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art" of building a working fuzzy controller has turned into today's "science" of systematic design.
To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples.
Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.
Chen, Guanrong; Pham, Trung Tat
