Contribution to Study of Intelligent Adaptive Control Strategies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Contribution to Study of Intelligent Adaptive Control Strategies PDF full book. Access full book title Contribution to Study of Intelligent Adaptive Control Strategies by Weiwei Yu. Download full books in PDF and EPUB format.
Author: Weiwei Yu
Publisher:
ISBN: 9783847326663
Category : Adaptive control systems
Languages : en
Pages : 124
Get Book Here
Book Description
Author: Weiwei Yu
Publisher:
ISBN: 9783847326663
Category : Adaptive control systems
Languages : en
Pages : 124
Get Book Here
Book Description
Author: Weiwei Yu
Publisher:
ISBN:
Category :
Languages : fr
Pages : 0
Get Book Here
Book Description
La principale limitation du modèle connexionniste (réseau neuronal artificiel) CMAC (Cerebellar Model Articulation Controller) et son applicabilité à la résolution des problèmes inhérents au systèmes automatisés complexes (robots, véhicules autonomes, etc.) est liée à la taille de mémoire requise par ce type de modèle connexionniste. Il est pertinent de rappeler que la capacité de mémoire exigée par le CMAC dépend, en premier lieu, de la précision de la quantification des signaux d'entrée, puis, de la dimension de l'espace des entrées (espace caractéristique) du système modélisé. Dans le cas des applications requérant une exécution en temps-réel, la tendance est à la réduction de l'espace caractéristique (aussi petit que possible) et la précision (de la quantification : aussi faible que possible). Cependant, souvent, les systèmes complexes impliquent plusieurs entrées. Pour résoudre le problème inhérent à cet antagonisme et la taille de la mémoire, nous nous sommes intéressés, dans la présente thèse, à l'influence des paramètres intervenant dans la précision de la quantification et dans la capacité de la généralisation sur la qualité d'approximation du modèle CMAC. L'objectif escompté était d'arriver à des structures optimales du CAMC pour le contrôle des systèmes dynamiques complexes. Les robots bipèdes (humanoïdes) et des véhicules volants hypersoniques sont deux domaines d'applications très actuelles impliquant des systèmes complexes. Nous avons appliqué des concepts étudiés aux problèmes soulevés par les deux domaines précités. Des résultats obtenus à partir de la simulation ont montré que des structures optimales ou quasi-optimales conduisant à une réduction sensible d'erreur de modélisation peuvent être obtenues. Ces résultats ont montré que les choix effectués dans l'optimisation de la structure permet une réduction de la taille de la mémoire requise (par le CMAC) et une réduction du temps d'exécution à la fois.
Author: Lakhmi C. Jain
Publisher: CRC Press
ISBN: 9780849398056
Category : Computers
Languages : en
Pages : 440
Get Book Here
Book Description
This book describes important techniques, developments, and applications of computational intelligence in system control. Chapters present: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive, industrial automation, and fish processing other knowledge-based techniques, including vehicle driving aid and air traffic management Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control. The book cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.
Author: Kaushik Das Sharma
Publisher: Springer
ISBN: 9811312982
Category : Technology & Engineering
Languages : en
Pages : 310
Get Book Here
Book Description
This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.
Author: Simon G. Fabri
Publisher: Springer Science & Business Media
ISBN: 144710319X
Category : Technology & Engineering
Languages : en
Pages : 275
Get Book Here
Book Description
Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typically characterised by uncertainty, nonlinear dynamics, component failure, unpredictable disturbances, multi-modality and high dimensional spaces.
Author: Zi-Xing Cai
Publisher: World Scientific
ISBN: 9789810225643
Category : Technology & Engineering
Languages : en
Pages : 472
Get Book Here
Book Description
Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Author: Haotian Cao
Publisher: Springer Nature
ISBN: 3031015061
Category : Technology & Engineering
Languages : en
Pages : 128
Get Book Here
Book Description
The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system. More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented. As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario. We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously. Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Driver's driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy. Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.
Author: Gang Feng
Publisher: Elsevier
ISBN: 0080498604
Category : Technology & Engineering
Languages : en
Pages : 361
Get Book Here
Book Description
Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers.The book presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits. - Practical cookbook of adaptive control - Contains important research
Author: Oliver G. Selfridge
Publisher: Springer Science & Business Media
ISBN: 1468489410
Category : Business & Economics
Languages : en
Pages : 345
Get Book Here
Book Description
There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control. The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society.
Author: Simon G Fabri
Publisher:
ISBN: 9781447103202
Category :
Languages : en
Pages : 292
Get Book Here
Book Description
