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1、<p><b> 外文資料翻譯</b></p><p> INTELLIGENT CONTROL</p><p> Intelligence and intelligent systems can be characterized in a number of ways and along a number of dimensions. There a
2、re certain attributes of intelligent systems, common in many definitions, which are of particular interest to the control community.</p><p> In the following, several alternative definitions and certain ess
3、ential characteristics of intelligent systems are first discussed. A brief working definition of intelligent systems that captures their common characteristics is then presented. In more detail, we start with a rather ge
4、neral definition of intelligent systems, we discuss levels of intelligence, and we explain the role of control in intelligent systems and outline several alternative definitions. We then discuss adaptation and learn</
5、p><p> We start with a general characterization of intelligent systems:</p><p> An intelligent system has the ability to act appropriately in an uncertain environment, where an appropriate action
6、 is that which increases the probability of success, and success is the achievement of behavioral subgoals that support the system’s ultimate goal.</p><p> In order for a man-made intelligent system to act
7、appropriately, it may emulate functions of living creatures and ultimately human mental faculties. An intelligent system can be characterized along a number of dimensions. There are degrees or levels of intelligence that
8、 can be measured along the various dimensions of intelligence. At a minimum, intelligence requires the ability to sense the environment, to make decisions and to control action. Higher levels of intelligence may include
9、the abilit</p><p> The above characterization of an intelligent system is rather general. According to this, a great number of systems can be considered intelligent. In fact, according to this definition, e
10、ven a thermostat may be considered to be an intelligent system, although of low level of intelligence. It is common, however, to call a system intelligent when in fact it has a rather high level of intelligence.</p>
11、;<p> There exist a number of alternative but related definitions of intelligent systems and in the following we mention several. They provide alternative, but related characterizations ofintelligent systems with
12、 emphasis on systems with high degrees of intelligence.</p><p> The following definition emphasizes the fact that the system in question processes information, and it focuses on man-made systems and intelli
13、gent machines:</p><p> A. Machine intelligence is the process of analyzing, organizing and converting data into knowledge; where (machine) knowledge is defined to be the structured information acquired and
14、applied to remove ignorance or uncertainty about a specific task pertaining to the intelligent machine. This definition leads to the principle of increasing precision with decreasing ntelligence, which claims that: apply
15、ing machine intelligence to a database generates a flow of knowledge, lending an analytic form to</p><p> B. Many adaptive or learning control systems can be thought of as designing a control law to meet we
16、ll-defined control objectives. This activity represents the system’s attempt to organize or order its “knowledge” of its own dynamical behavior, so to meet a control objective. The organization of knowledge can be seen a
17、s one important attribute of intelligence. If this organization is done autonomously by the system, then intelligence becomes a property of the system, rather than of the system’s </p><p> A procedural char
18、acterization of intelligent systems is given next:</p><p> C. Intelligence is a property of the system that emerges when the procedures of focusing attention, combinatorial search, and generalization are ap
19、plied to the input information in order to produce the output. One can easily deduce that once a string of the above procedures is defined, the other levels of resolution of the structure of intelligence are growing as a
20、 result of the recursion. Having only one level structure leads to a rudimentary intelligence that is implicit in the thermostat, or </p><p> The concepts of intelligence and control are closely related and
21、 the term “Intelligent Control” has a unique and distinguishable meaning. An intelligent system must define and use goals. Control is then required to move the system to these goals and to define such goals. Consequently
22、, any intelligent system will be a control system. Conversely, intelligence is necessary to provide desirable functioning of systems under changing conditions, and it is necessary to achieve a high degree of autonomo<
23、/p><p> Below, one more alternative characterization of intelligent (control) systems is included. According to this view, a control system consists of data structures or objects (the plant models and the cont
24、rol goals) and processing units or methods (the control laws) :</p><p> D. An intelligent control system is designed so that it can autonomously achieve a high levelgoal, while its components, control goals
25、, plant models and control laws are not completely defined, either because they were not known at the design time or because they changed unexpectedly.</p><p> There are several essential properties present
26、 in different degrees in intelligent systems. One can perceive them as intelligent system characteristics or dimensions along which different degrees or levels of intelligence can be measured. Below we discuss three such
27、 characteristics that appear to be rather fundamental in intelligent control systems.</p><p> Adaptation and Learning. The ability to adapt to changing conditions is necessary in an intelligent system. Alth
28、ough adaptation does not necessarily require the ability to learn, for systems to be able to adapt to a wide variety of unexpected changes learning is essential. So the ability to learn is an important characteristic of
29、(highly) intelligent systems.</p><p> Autonomy and Intelligence. Autonomy in setting and achieving goals is an important characteristic of intelligent control systems. When a system has the ability to act a
30、ppropriately in an uncertain environment for extended periods of time without external intervention, it is considered to be highly autonomous. There are degrees of autonomy; an adaptive control system can be considered a
31、s a system of higher autonomy than a control system with fixed controllers, as it can cope with greater uncertai</p><p> Structures and Hierarchies. In order to cope with complexity, an intelligent system m
32、ust have an appropriate functional architecture or structure for efficient analysis and evaluation of control strategies. This structure should be “sparse” and it should provide a mechanism to build levels of abstraction
33、 (resolution, granularity) or at least some form of partial ordering so to reduce complexity. An approach to study intelligent machines involving entropy emphasizes such efficient computational s</p><p> In
34、 view of the above, a working characterization of intelligent systems (or of (highly) intelligent (control) systems or machines) that captures the essential characteristics present in any such system is:</p><p
35、> An intelligent system must be highly adaptable to significant unanticipated changes, and so learning is essential. It must exhibit high degree of autonomy in dealing with changes. It must be able to deal with signi
36、ficant complexity, and this leads to certain sparse types of functional architectures such as hierarchies.</p><p><b> 智 能 控 制</b></p><p> 智能與智能系統能用許多方式和從許多方面來描述。通常包含智能系統的特征,這些也是控制領
37、域所關心的特征。</p><p> 下面,首先討論智能系統的幾種定義和某些基本特性。接著陳述一下具有共同特性的智能系統的一個簡潔的工程定義。更詳細地,我們從智能系統的一個非常一般的定義開始,討論智能程度,解釋控制在智能系統中的作用,并概括出幾種定義。然后討論智能系統中的自適應和自學習、自主性和必要的高效計算結構,來處理智能系統的復雜性。最后歸結出智能(控制)系統的基本特征。</p><p&g
38、t; 我們從智能系統的一般特征開始:</p><p> 一個智能系統應具備在不可預測的環(huán)境下適當工作的能力,在這個環(huán)境中一個適當的反應能夠增加成功的可能性,從而達到系統最終的目的。</p><p> 為了能讓人造智能系統適當的工作,它應能模擬生物的功能和基本的人的智能。一個智能系統能從多個方面來描述。智能程度能從智能的各個方面測得。智能至少要具有感受環(huán)境、進而做出決定來進行控制的能力
39、。智能化程度比較高的智能系統具有識別目標和事件、描述世界模型中的知識、思考并計劃未來的能力。在智能化程度更高級的形式中,智能具有感知和理解、理智地做出選擇、在各種各樣的環(huán)境下成功地運行以便能在復雜的、不利的環(huán)境下生存和發(fā)展的能力。通過計算能力的發(fā)展和在復雜多變的環(huán)境中怎樣感知、決定并做出響應的知識的積累,我們可以觀察到智能也在更新與發(fā)展。</p><p> 智能系統的以上特征是非常普遍的。據上所述,很多系統都可
40、以被認為是智能的。事實上,根據這種定義,恒溫器盡管只是低水平的智能,但是也可以被認為是智能系統。然而,習慣上當一個系統具有高水平的智能時,我們才稱它為智能系統。</p><p> 智能系統存在許多相關的定義,下面我們提到了幾種。它們提供可選擇但相關的智能系統的特性,這種智能系統著重強調系統的高程度智能。</p><p> 下面的定義強調這樣一個事實,處理信息的系統集中在人造系統和智能機
41、器上:</p><p> 機器智能是分析、組織和轉換數據成知識的過程,在這里,知識被定義為結構化的信息,這種信息被用來消除無知或相對于智能機器來說某些特殊任務的不確定性。這種定義導致了增加精度而相對減少智能的原則,這種原則表示:應用機器智能到數據庫能生成一系列的知識,通過分析形式進行過程建模。</p><p> 其次,智能系統具有自動分配任務和在內部自主地控制執(zhí)行機構的特性:</
42、p><p> B. 許多自適應或自學習控制系統被認為是作為一種控制法則來滿足明確的控制目標。這種行為代表著系統試圖組織或排列自己動態(tài)行為的知識,來滿足控制目標。這些知識的組織是組成智能的一個重要特征。如果系統能夠自主地實現這種組織,那么智能就成為系統的一種性能,而非系統設計者的。這意味著能內部實現自組織原則的自組織控制器是智能控制系統。</p><p> 下面給出智能系統的過程特性:<
43、;/p><p> C. 智能是系統的一種特性,當集中注意、聯合搜索和概括等過程被應用在輸入信息,從而產生輸出時,這種特性就會出現。你可以很容易的推斷出:一旦以上過程被定義,具有智能結構的結果規(guī)則生成并作為新的結果。只有一種標準結構將導致在恒溫器中固有的一個不成熟的智能或導致成為一個可變結構的變化模型的控制器。</p><p> 智能和控制的概念緊密相關,并且術語“智能控制”有著獨特的、可區(qū)
44、別的意思。一個智能系統必須定義和利用目標。控制被要求用來驅動系統達到這些目標并定義這些目標。因此,任何智能系統都是控制系統。相反地,智能必須在條件變化的情況下提供合適的系統運行過程,也必須在控制系統中具有高度的自主行為。因為控制是任何智能系統的一個重要部分,因此在工程文獻中“智能控制系統”有時被用來代替“智能系統”或“智能機器”?!爸悄芸刂葡到y”強調智能系統中的控制方面。</p><p> 下面,介紹一下智能(
45、控制)系統的另外一些特性。根據觀察,一個控制系統包括數據結構或對象(設備模型和控制目標)和處理單元或方法(控制規(guī)則):</p><p> D. 由于組件、控制目標、加工模型和控制法則并沒有完全被定義,沒被定義的原因或是因為在設計時不了解,或是因為它們在不可預測地變化著。所以設計一個智能控制系統以便能自動獲得高標準目標。</p><p> 在具有不同智能化程度的系統中呈現出幾種基本特性。
46、你可以認為它們是智能系統的特征或是衡量智能程度的方面。下面我們討論在智能控制系統中三種非?;镜奶匦?。</p><p> 自適應與自學習 在智能系統中適應變化多端的條件的能力是必需的。盡管自適應不一定要具備自學習能力,但一個系統要適應不可預測的各種變化,學習是最必要的。因此學習能力是高智能系統的一種重要特性。</p><p> 自主性和智能 在設置和獲取目標過程中自主性是智能控制系統的
47、一個重要特性。當一個系統在一個沒有外界干預的不確定的環(huán)境中能正常運行時,它就被認為是一個高自主性系統。不同系統的自主性程度是不一樣的,自適應控制系統被認為比安裝了控制器的控制系統具有更高自主能力,因為它比一個固定的反饋控制器更能處理不可預測的問題。盡管對低自主性來說,無智能(或“低”智能)是必然的,但是對高自主性來說,系統的智能(或“高”智能度)是很必要的。</p><p> 結構和層次 為了應對復雜情況,一個
48、智能系統必須具備一個合適的功能結構來進行有效的分析和控制決策的估計。這種結構是“稀少的”并且它應該提供一種機制來建立提取標準(決議)或者至少提供某種形式的部分規(guī)則來減少復雜性。一種研究智能機器的熵方法能加強這種有效的計算結構。能夠適應的層次(或許是大致的、局部的或是組合的層次),可以作為一種主要的工具來處理復雜性。這里的“層次”術語是指功能性層次,或者是指時空的范圍和決議,而且它并不意味著是一種層次硬件。這里面的某些結構可能是硬件的。為
49、了應付多變的環(huán)境,自學習能力是必要的,因此這種結構應能適應重要的、不可預料的變化。</p><p> 鑒于以上所述,具有其他任何系統都存在的基本特性的智能系統(高智能控制系統或機器)的一個工作特征是:</p><p> 一個智能系統必須對重要的、不可預料的變化具有很高的適應性,而且自學習也是必要的。在應對變化因素時它必須呈現出高度自主性。它必須能夠處理非常復雜的問題,而且這將導致某些稀
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