Search Results for Nonlinear systems.

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Universal Fuzzy Controllers for Non-affine Nonlinear Systems

Gao, Qing. author.

http://dx.doi.org/10.1007/978-981-10-1974-6

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Universal Fuzzy Controllers for Non-affine Nonlinear Systems Gao, Qing. author.

Design of Interpretable Fuzzy Systems

Cpałka, Krzysztof. author.

http://dx.doi.org/10.1007/978-3-319-52881-6

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nonlinear modelling and control -- Chapter8: Case study: interpretability of fuzzy systems applied to

Modern Approaches to Agent-based Complex Automated Negotiation

Fujita, Katsuhide. editor.

http://dx.doi.org/10.1007/978-3-319-51563-2

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BiTrust: A Comprehensive Trust Management Model for Multi-agent Systems -- Using Reference Points

Glowworm Swarm Optimization Theory, Algorithms, and Applications

Kaipa, Krishnanand N. author.

http://dx.doi.org/10.1007/978-3-319-51595-3

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Alıntı:

, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and

Decentralized Neural Control: Application to Robotics

Garcia-Hernandez, Ramon. author.

http://dx.doi.org/10.1007/978-3-319-53312-4

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decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding

Automation 2017 Innovations in Automation, Robotics and Measurement Techniques

Szewczyk, Roman. editor.

http://dx.doi.org/10.1007/978-3-319-54042-9

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Positive Nonlinear Systems -- Descriptor Fractional Continuous-Time Linear System and its Solution

Trends in Advanced Intelligent Control, Optimization and Automation Proceedings of KKA 2017—The 19th Polish Control Conference, Kraków, Poland, June 18–21, 2017

Mitkowski, Wojciech. editor.

http://dx.doi.org/10.1007/978-3-319-60699-6

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Alıntı:

-free nonlinear model predictive control -- Simple example of dual control problem with almost analytical solution

Multi-agent and Complex Systems

Bai, Quan. editor.

http://dx.doi.org/10.1007/978-981-10-2564-8

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activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which

Advances in Unconventional Computing Volume 2: Prototypes, Models and Algorithms

Adamatzky, Andrew. editor.

http://dx.doi.org/10.1007/978-3-319-33921-4

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Alıntı:

-Zhabotinsky Computing through Simulated Evolution -- On Synthesis and Solutions of Nonlinear Differential Equations - a

10.

Recent Contributions in Intelligent Systems

Sgurev, Vassil. editor.

http://dx.doi.org/10.1007/978-3-319-41438-6

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of Min-Max Control for Uncertain Nonlinear Systems -- Modeling Parallel Optimization of the Early

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Computational Intelligence International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers

Merelo, Juan Julián. editor.

http://dx.doi.org/10.1007/978-3-319-48506-5

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Alıntı:

-- Synchronization of Uncertain Chaotic Systems using Generalized Predictive Control based on Fuzzy PID Controllers

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L2-Gain and Passivity Techniques in Nonlinear Control

van der Schaft, Arjan. author.

http://dx.doi.org/10.1007/978-3-319-49992-5

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Alıntı:

and the Small Gain Theorem -- Chapter 9: Factorizations of Nonlinear Systems -- Chapter 10: Nonlinear

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