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039		9	_a201102181222 _bVLOAD _c200602281452 _deunice _c200511251224 _dradtha _c200511241554 _dradtha _y200510251143 _zradtha
082	0	4	_a660.2815 _bMAR
100	1		_aMarlin, Thomas E. _910735
245	1	0	_aProcess control : _bdesigning processes and control systems for dynamic perfomance / _cThomas E. Marlin.
250			_a2nd ed., Int. ed.
260			_aBoston, Mass. : _bMcGraw-Hill, _cc2000.
300			_axxxiii, 1017 p. : _bill. ; _c25 cm.
505	0		_aPt. 1. Introduction. 1. Introduction to Process Control. 2. Control Objectives and Benefits. - Pt. II. Process Dynamics. 3. Mathematical Modeling Principles. 4. Modeling and Analysis for Process Control. 5. Dynamic Behavior of Typical Process Systems. 6. Empirical Model Identification. - Pt. III. Feedback Control. 7. The Feedback Loop. 8. The (PID) Algorithm. 9. PID Controller Tuning for Dynamic Performance. 10. Stability Analysis and Controller Tuning. 11. Digital Implementation of Process Control. 12. Practical Application of Feedback Control. 13. Performance of Feedback Control Systems. - Pt IV. Enhancements To Single-Loop PID Feedback Control. 14. Cascade Control. 15. Feedforward Control. 16. Adapting Single-Loop Control Systems for Non-Linear Processes. 17. Inferential Control. 18. Level and Inventory Control. 19. Single-Variable Model Predictive Control. - Pt. V. Multivariable Control. 20. Multiloop ControlEffects of Interaction. 21. Multiloop Control Performance Analysis. 22. Variable Structure and Constraint Control. 23. Centralized Multivariable Control. 24. Process Control Design Definition and Decisions. 25. Process Control Design Managing the Design Procedure. 26. Control for Product Quality and Profit. - Appendices.
650		0	_aChemical process control. _94455
920			_aENG : 31970, 31971, 31972, 32011, 32012, 32013, 32014
999			_c38673 _d38673