Advances in Model-Based Predictive Control
-
10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár GBP 177.50
-
80 141 Ft (76 325 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 8 014 Ft off)
- Kedvezményes ár 72 127 Ft (68 693 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
80 141 Ft
Beszerezhetőség
Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó OUP Oxford
- Megjelenés dátuma 1994. május 5.
- Kötetek száma laminated boards
- ISBN 9780198562924
- Kötéstípus Keménykötés
- Terjedelem548 oldal
- Méret 251x196x36 mm
- Súly 1184 g
- Nyelv angol
- Illusztrációk numerous line illustrations 0
Kategóriák
Rövid leírás:
This work is devoted to all aspects of model-based predictive control, one of the hottest topics in control engineering. It looks at the theory, current applications, and current areas of research.
TöbbHosszú leírás:
In the classic example of a steam engine governor an increase in speed immediately results in a decrease in steam supplied, so slowing the engine. In many instances there is a considerable lag between the corrective action (decrease in steam) and resumption of the correct state. For example, the output of a base chemical plant may take minutes or even hours to respond to pressure of temperature changes imposed on the plant. In these cases predictive control is required. Without a detailed running history of the chemical plant (in this example) it is then necessary to use model-based predictive control (rather than experience based predictive control).
This book is devoted to all aspects of Model-Based Predictive Control, including new developments in the theory of the subect and current applications of MBPC to real processes. Topics included are: algorithm developments, industrial applications, and comparison with other approaches.
The book will be of interest to both researchers and designers, and control engineers.
Tartalomjegyzék:
Advances in model-based predictive control
Matching the uncertainty of the model given by global identification techniques to the robustness of a model-based predictive controller
Stability and output terminal constraints in predictive control
Use of qualitative models for the choice of design parameters of model-based predictive controllers
Artificial neural network model-based control
Neural network based adaptive predictive control
Fuzzy generalized predictive controller
A game theoretic approach to moving horizon control
Pre-tuning of self-tuners
Stabilizing predictive control: the singular transition-matrix case
Robust adaptive predictive control
Continuous-time generalised predictive control (CGPC): Implementation issues
Evaluation of stochastic characteristics for a constrained GPC algorithm
Model-based predictive control for two-dimensional dynamic processes
Model-based predictive controller with Kalman filtering for state estimation
On the relationship between GPC and PIP controllers
A comparative study of GPC and DMC controllers
Constrained generalized predictive control with dynamic programming
Min-max model-based predictive control
Stability and robustness of constrained model predictive control
New sufficient conditions for global stability of receding horizon control for discrete-time nonlinear systems
Nonlinear model-based predictive control
Model-based predictive control methods based on non-linear and bilinear parametric system descriptions
Stability results for constrained model predictive control
Stability in constrained predictive control
Stability of constrained MBPC using an internal model control structure
Actuator nonlinearities in predictive control
Advances in constrained generalized predictive control with application to a dynamometer model
Application of constrained GPC for improving performance of controlled plants
Generalised predictive control in clinical anaesthesia
Modelling control in a large water treatment works
Design and realization of a MIMO predictive controller for a 3-tank system
Predictive control for target tracking
Predictive control application in the machine-tool field
Application of GPC to a solar power plant
