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9th Workshop on Self-Organizing Maps, WSOM 2012

作者： Peláez, Francisco Javier Ropero Godoi, Antonio Carlos Center of Mathematics Computation and Cognition Universidade Federal Do ABC Santo André Brazil Department of Telecommunications and Control Engineering Universidade de São Paulo Sao Paulo Brazil

ISBN: (纸本)9783642352294

In this paper we propose a new unsupervised neural network whose units exhibit intrinsic plasticity and metaplasticity. We describe three versions of the network: The first version is a two-layered neural network with intrinsic plasticity governing the shifting of the activation function, and the pre-synaptic rule altering synaptic weights. In this first version, competition is forced, so that the most activated neuron is set to one and the others to zero. In the second version, competition is not forced and occurs naturally due to inhibition between second layer's neurons. Competition also occurs naturally in the third version whose architecture resembles the one of the internal granular layer of the koniocortex. All versions of our network categorize input patterns similarly to a conventional competitive neural network. © 2013 Springer-Verlag.

关键词： Network layers

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Multiple objective optimization in a spacecraft power system to maximize serviceability

Multiple objective optimization in a spacecraft power system...

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13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

作者： Momoh, James A. Kaili, Xu IEEE Center for Electrical System and Control Department of ECE Howard University Washington DC 20059 Department of Electrical and Computer Engineering Howard University Washington DC 20059 United States Center for Energy Systems and Control Electrial and Computer Engineering Howard University Washington DC 20059 United States

ISBN: (纸本)1599750287

Different from most power systems, the requirement for reliability of the power system on board a spacecraft is much more stringent. However, the reliability of the spacecraft power system can not be solely realized by increasing system redundancies due to limitations on mass. A Ring-Bus topology has been proposed for this purpose. This paper provides an analysis to this special topology, study selected critical possible failure scenarios and propose methods to maximize the serviceability of the system. A spacecraft power system is distinguished from most other system as it orbits around the earth. The primary source of the system is solar energy. Batteries save energy for ellipse time. To maximize the serviceability, the solar energy should be utilized most efficiently and the batteries should be strategically discharged to meet not only immediate load but anticipated load in the future. At the same time, the system should minimize current flows among different ring buses. Multiple objective functions are proposed and implemented in this paper based on different system operating conditions. The main goal is to maximize the serviceability of the system. The optimization result can be utilized to design controllers for the PV sources, loads and batteries. The proposed methods are tested on a Ring-Bus system. The testing result shows that the system can correctly determine its optimum operating strategy and corresponding control actions. © 2005 ISAP.

关键词： Electric power systems

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Continuous time constrained linear quadratic regulator - convex duality approach

Continuous time constrained linear quadratic regulator - con...

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American control Conference (ACC)

作者： R. Goebel M. Subbotin Seattle WA USA Center for Control Engineering and Computation ECE Dept University of California Santa Barbara CA USA

A continuous time infinite horizon linear quadratic regulator with input constraints is studied. On the theoretical side, optimality conditions, both in the open loop and feedback form, are shown together with smoothness of the value function and local Lipschitz continuity of the optimal feedback. Arguments are self-contained, use basic ideas of convex conjugacy, and in particular, use a dual optimal control problem. A method of calculating the optimal and stabilizing feedback without relying on discrete optimization is outlined.

关键词： Time factors Regulators Optimal control Infinite horizon Feedback loop Linear systems Constraint optimization Riccati equations control engineering control engineering computing

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Optimization Strategy of Bio-Inspired Metaheuristic Algorithms Tuned PID controller for PMBDC Actuated Robotic Manipulator

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Procedia Computer Science 2020年 171卷 2040-2049页

作者： Sudarshan K. Valluru Madhusudan Singh Center for Control of Dynamical Systems and Computation Department of Electrical Engineering Delhi Technological University Delhi-110042 India

The present article makes an attempt to evaluate the computational performance of genetic meta heuristic optimized control algorithms. Here, the multi-objective bio inspired algorithm (MOGA) and adaptive particle swarm optimization (APSO) algorithm are used to tune linear PID (L-PID) and nonlinear PID(NL-PID) controllers to implement performance and execution control of permanent magnet brushed DC (PMBDC) motor actuated robotic manipulator. The MOGA, APSO optimised nonlinear and linear PID controllers have been validated for their response efficacy and compared in respect of the steady-state error, overshoot and settling time of PMBDC driven robotic Manipulator. The efficacy of metaheuristics such as APSO and MOGA tuned NL-PID controller are better as compared to the L- PID controlled objects. Experimental results show that the NL-PID controller mends the controlled objects’ performace with a reduction in both the overshoot as well as the settling time, if tuned either with MOGA or APSO for L-PID controllers while NL-PID controller tuned with APSO gives satisfactory dynamic response of the system.

关键词： L-PID NL-PID MOGA APSO Robotic Manipulator

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Hybrid control of rigid-body attitude with synergistic potential functions

Hybrid control of rigid-body attitude with synergistic poten...

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作者： Mayhew, Christopher G. Teel, Andrew R. Robert Bosch Research and Technology Center 4005 Miranda Ave. Palo Alto CA 94304 United States Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA 93106-9560 United States

ISBN: (纸本)9781457700804

Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback due to topological obstructions. In this paper, we propose a hybrid feedback that coordinates a "synergistic" family of potential functions and their natural feedbacks to achieve global asymptotic stability of a desired attitude with robustness to small perturbations including measurement noise. We illustrate the results via simulation. © 2011 AACC American Automatic control Council.

关键词： Feedback

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When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy

When Smoothness is Not Enough: Toward Exact Quantification a...

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IEEE Annual Conference on Decision and control

作者： Rahul Chandan Dario Paccagnan Jason R. Marden Department of Electrical and Computer Engineering Center of Control Dynamical Systems and Computation UC Santa Barbara USA Department of Mechanical Engineering Center of Control Dynamical Systems and Computation UC Santa Barbara USA

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game theory has emerged as a valuable tool to complement more traditional techniques. The fundamental idea behind this approach is the assignment of agents' local cost functions, such that their selfish minimization attains, or is provably close to, the global objective. Any algorithm capable of computing an equilibrium of the corresponding game inherits an approximation ratio that is, in the worst case, equal to its price-of-anarchy. Therefore, a successful application of the game design approach hinges on the possibility to quantify and optimize the equilibrium *** this end, we introduce the notion of generalized smoothness, and show that the resulting efficiency bounds are significantly tighter compared to those obtained using the traditional smoothness approach. Leveraging this newly-introduced notion, we quantify the equilibrium performance for the class of local resource allocation games. Finally, we show how the agents' local decision rules can be designed in order to optimize the efficiency of the corresponding equilibria, by means of a tractable linear program.

关键词： Games Resource management Cost function Multi-agent systems Approximation algorithms control systems Nash equilibrium

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Synergistic potential functions for hybrid control of rigid-body attitude

Synergistic potential functions for hybrid control of rigid-...

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ISBN: (纸本)9781457700804

Achieving global asymptotic stabilization of rigid-body attitude is impossible using smooth feedback;however, this obstruction can be overcome using a hybrid controller that coordinates a "synergistic" family of potential functions and their corresponding feedbacks. In this paper, we show that it is impossible to construct a synergistic family of potential functions from the widely used class of "modified trace functions," despite the fact that one can choose a subset of these functions whose only common critical point is the identity element. With this as motivation, we introduce a parametrized diffeomorphism that is capable of altering the critical behavior of potential functions and generating a synergistic family, paving the way for global asymptotic attitude stabilization of rigid-body attitude by hybrid feedback. © 2011 AACC American Automatic control Council.

关键词： Feedback

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Suboptimal contractive predictive control for a class of hybrid systems

Suboptimal contractive predictive control for a class of hyb...

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CIMCA 2006: International Conference on computational Intelligence for Modelling, control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce

作者： Habibi, Jalal Moshiri, Behzad Sedigh, Ali Khaki IEEE University of Tehran ECE Department Control and Intelligent Processing Center of Excellence North Amirabad Tehran Iran K.N. Toosi University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)0769527310

Current state-of-the-art approaches for control of hybrid systems face with two main important challenging problems which are guaranteeing the stability and the computational complexity. In this article a new approach has been proposed to guarantee the closed loop stability of a class of hybrid systems while reducing the complexity of control problem by introducing some level of suboptimality. It has been shown that using contraction constraint on the objective function results in asymptotically stable closed loop system. It has also been described that since only feasibility is sufficient for stability in the proposed approach, suboptimal control could be used to reduce the computational complexity. © 2006 IEEE.

关键词： Hybrid computers

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L2-induced gain analysis of switched linear systems via finitely parametrized storage functions

L2-induced gain analysis of switched linear systems via fini...

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作者： Hirata, Kenji Hespanha, João P. Department of Mechanical Engineering Nagaoka University of Technology Nagaoka 940 2188 Japan Department of Electrical and Computer Engineering Center for Control Dynamical Systemsand Computation University of California Santa Barbara CA 93106 United States

ISBN: (纸本)9781424474264

This paper addresses the computation of the L2-induced gain for switched linear systems. The main contribution of the paper is to completely characterize the induced gain of a switched system though a differential inequalities on a finitely parametrized common storage function, one equation for each system being switched. The motivation for computing the induced gain of a switched system is the application of robust stability tools to the analysis of hybrid systems. © 2010 AACC.

关键词： Hybrid systems

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Robust nonlinear control applied to traction control of electric vehicles

Robust nonlinear control applied to traction control of elec...

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2003 10th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2003

作者： Jalili-Kharaajoo, Mahdi Rouhani, Hossein Control and Intelligent Processing Center of Excellence ECE Department University of Tehran P.O. Box 14395/515 Tehran Iran Mechanical Engineering Department University of Tehran Iran Young Researchers Center Azad University Iran

ISBN: (纸本)9780780381636;0780381637

A robust nonlinear control strategy based on sliding mode control algorithm is applied to traction control for an electric vehicle (EV) with four separate wheel drives. The proposed algorithm is implemented in terms of a hierarchical architecture, which incorporates all new known vehicle systems ABS (Anti-lock Brake System), ASR (Anti Slip Regulation), ESP (Electronic Stability Program). Simulation results demonstrate the satisfactory robust performance of the proposed control algorithm. © 2003 IEEE.

关键词： Traction control

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