The document discusses various types of control systems including continuous and discrete, linear and non-linear, conditional and sequential. It also covers control system goals like tracking, regulation and optimization. Performance objectives, design considerations, and advanced control topics such as robust, adaptive, multi-input multi-output, and stochastic control are mentioned. Soft computing techniques including fuzzy logic, neural networks and evolutionary algorithms are also summarized.

1. CONTROL
CONTIUOUS
LINEAR
NON-LINEAR
e.g. PID
e.g. MRAC
e.g. FUZZY LOGIC
DISCRETE
CONDITIONAL
SEQUENTIAL
BOOLEAN
EXPERT
SYSTEMS
TEMPORAL
e.g. TIMER
EVENT
BASED
e.g.COUNTERS
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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2. ‫للنظم‬ ‫األولي‬ ‫التصنيف‬
Basic system categories
• Continuous Discrete
»Non-linear Linear
»Static Dynamic
»Stochastic Deterministic
»Distributed Lumped
»Time-invariant Time-varying
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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3. ‫التحكم‬ ‫نظام‬ ‫أهداف‬
Control System Goals
• Tracking ‫المالحقة‬
– robot movement
•Regulation ‫التنظيم‬
–thermostat, target service levels
•Optimisation ‫األملثة‬
–best mix of chemicals, minimize response times
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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4. ‫األداء‬ ‫أغراض‬
Performance Objectives
• Disturbance rejection
• Insensitivity to plant parameter variation
• Stability
• Rise-Time
• Overshoot
• Settling time
• Steady-state error
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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5. ‫أخرى‬ ‫تصميمة‬ ‫إعتبارات‬
• Cost
• Computational complexity
• Manufacturability
• Reliability
• Maintainability
• Adaptability
• Understandability
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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6. Robust Control
 Can the system tolerate noise?
Adaptive Control
 Controller changes over time (adapts)
MIMO Control
 Multiple inputs and/or outputs
Stochastic Control
 Controller minimizes variance
Optimal Control
 Controller minimizes a cost function of error and control energy
Non-linear systems
 Neuro-fuzzy control
Advanced Control Topics
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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7. Fuzzy Logic Neural
networks
Evol.
Algor.
Probabilities
and statistics
‫الحاسوبي‬ ‫الذكاء‬ ‫عالم‬
CI
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8. Soft Computing
Fusion of FSs and NNs, FSs and GAs, and NNs and GAs
FS
5.2 NN using GA
5.1 GA using NN
NN GA
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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9. Fuzzy LogicPossibility Theory
Fuzzy Subset
Fuzzy Set Theory
Fuzzy Expert Systems
Fuzzy Controllers
Soft Computing
Computing with words
Fuzzy Objects
Related Topics
• After 40 years there seem to be only one thing certainly “fuzzy”:
The theories and their relations to each other
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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10. ‫المدروسة‬ ‫للجملة‬ ‫تحليلي‬ ‫نموذج‬ ‫اليوجد‬
‫الكالسيكية‬ ‫الطرق‬ ‫لحسابه‬ ‫جدا‬ ‫معقد‬ ‫لنموذج‬
‫تماما‬ ‫محددة‬ ‫وغيرمحددة‬ ‫معروفة‬ ‫غير‬ ‫التحكم‬ ‫أهداف‬(‫لغوية‬)
‫العائم‬ ‫للتحكم‬ ‫الحاجة‬ ‫أين‬
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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11. Limitations
• More complex than PID
• More parameters to tune
• Un-mathematical (stability?)
‫القادري‬ ‫منذر‬ ‫محمد‬ ‫الدكتور‬
munthear@gmail.com
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