<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJDM</journal-id><journal-title-group><journal-title>Open Journal of Discrete Mathematics</journal-title></journal-title-group><issn pub-type="epub">2161-7635</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojdm.2013.33022</article-id><article-id pub-id-type="publisher-id">OJDM-34497</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Delay-Dependent Robust Passive Control for Uncertain Discrete-Time Systems with Time Delays
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ufang</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Changlong</surname><given-names>Yu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhifeng</surname><given-names>Gao</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Nanjing University of Aeronautics and Astronautics, Nanjing, China</addr-line></aff><aff id="aff1"><addr-line>College of Sciences, Hebei University of Science and Technology, Shijiazhuang, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>wangjufang1981@126.com(UW)</email>;<email>changlongyu@126.com(CY)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>02</day><month>07</month><year>2013</year></pub-date><volume>03</volume><issue>03</issue><fpage>123</fpage><lpage>126</lpage><history><date date-type="received"><day>April</day>	<month>19,</month>	<year>2013</year></date><date date-type="rev-recd"><day>May</day>	<month>20,</month>	<year>2013</year>	</date><date date-type="accepted"><day>June</day>	<month>15,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   This paper considers the problem of robust passive control for uncertain discrete systems with time-varying delays. We pay attention to designing a state feedback controller which guarantees the passivity of the closed-loop system for all admissible uncertainties. In terms of a linear matrix inequality, a sufficient condition for the solvability of this problem is presented and the explicit expression of the desired state feedback controller is given. 
 
</p></abstract><kwd-group><kwd>Robust Passive Control; Discrete Systems; Time Delay</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In the past several years, much attention has been paid to the study of stability of systems with control input delay. Much of them is focused on the passivity analysis for classes of time-delay systems. Using classical definitions of passivity and positive realness, the conditions for a nonlinear system can be rendered passive via smooth state feedback, see [1,2]. The robust passive control problem for time-delay systems was dealt with in [3,4] via various approaches. The robust passivity synthesis problem for discrete-time-delay systems is investigated in [5,6], but all these time delays are constant. To the best knowledge of authors, the problem of robust passive control for discrete-time systems with time-varying delays has not been fully investigated, which is more complex.</p><p>In this paper, we deal with the problem of robust passive feedback control for discrete systems with parameter uncertainties and time-varying delays. The parameter uncertainties are assumed to be time-varying but normbounded. The purpose is to construct a state feedback controller such that the closed-loop system is strictly passive and obtain a delay-dependent condition for the solvability of the problem.</p></sec><sec id="s2"><title>2. Statement of the Problem</title><p>Consider the following uncertain discrete-time system with time-varying delays:</p><disp-formula id="scirp.34497-formula78420"><label>(2.1)</label><graphic position="anchor" xlink:href="3-22787\08b2b744-a83c-460c-89f5-7dfab34d3509.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.34497-formula78421"><label>(2.2)</label><graphic position="anchor" xlink:href="3-22787\c8f96346-4a80-48f5-baad-0ec4b998c809.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.34497-formula78422"><label>(2.3)</label><graphic position="anchor" xlink:href="3-22787\17fe6598-0a6b-46b8-ab17-b5338704adee.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="3-22787\376d7e0d-d720-4e7d-93c2-eeb5d8a60a96.jpg" /> is the state, <img src="3-22787\cd634b4a-b0b1-4c0e-a059-e0d3676e0a4c.jpg" />is the controlled output, <img src="3-22787\58131340-9959-48fd-922c-e9793d559500.jpg" />the disturbance input which is assumed to belong to<img src="3-22787\d496b210-52f6-47f2-95e8-a6fceec1936a.jpg" />; <img src="3-22787\fadc82e0-11c2-452c-8ac2-a0653d0f41c4.jpg" />is a positive integer representing the time-varying delay of the system, which satisfies the following assumption:<img src="3-22787\f105b417-d8da-4d3a-a247-7190a9a9e5b5.jpg" />. <img src="3-22787\85233bb8-45f0-49ed-baaa-70a7930e409a.jpg" />is a real-valued initial function on<img src="3-22787\e787907b-2bc8-401a-be23-0c04eb35a634.jpg" />; <img src="3-22787\7ad34d54-5124-4255-9abe-b94a4f823761.jpg" />and <img src="3-22787\f9cccd50-a899-4a41-a73a-7f838cf86037.jpg" /> are known real constant matrices; <img src="3-22787\7b1388a2-854b-4061-87c8-4baf4b20eca7.jpg" />and <img src="3-22787\0e74dbb0-66b2-472e-9590-db6bd9450ce2.jpg" /> are unknown matrices representing time-varying parameter uncertainties, and are assumed to be of the form</p><disp-formula id="scirp.34497-formula78423"><label>(2.4)</label><graphic position="anchor" xlink:href="3-22787\2518ac55-dd80-4553-a9e7-14970d4f48fa.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="3-22787\10a5a6c0-7a32-432d-849b-94ba9786d2e2.jpg" /> and<img src="3-22787\b77fa984-4895-4257-ba07-f79a657f3043.jpg" />, are known real constant matrices and <img src="3-22787\062e53b2-3c77-4d5a-bdbf-09bc7c1304e0.jpg" /> satisfies:</p><disp-formula id="scirp.34497-formula78424"><label>. (2.5)</label><graphic position="anchor" xlink:href="3-22787\6b346e45-822f-4e12-9e40-cac8d17c8416.jpg"  xlink:type="simple"/></disp-formula><p>Our problem is to establish the passive control for systems (2.1)-(2.3) to determine the conditions. To this end, we introduce the following fact and related definition of passivity.</p><p>Lemma 2.1 Given constant symmetric matrices<img src="3-22787\7df96c77-e0d4-4b50-addc-0b1382325e03.jpg" />, <img src="3-22787\265799a6-ec38-4a31-97b6-504ada41febd.jpg" />, <img src="3-22787\a07b5bce-499c-482b-a4a8-18bfe881ba53.jpg" />, where<img src="3-22787\514bacce-520f-4dba-b9d3-6066e6c69e8d.jpg" />, and<img src="3-22787\79c3dde8-775c-4367-99e5-1713b3e6efb5.jpg" />, then</p><p><img src="3-22787\f0c5df9c-6d00-4ff9-81bb-add5510abe8d.jpg" />if and only if</p><p><img src="3-22787\bad3e804-d2f7-49ee-9c39-7948a6a4667f.jpg" />.</p><p>Lemma 2.2 Given constant matrices<img src="3-22787\15c57712-e675-47ea-a47f-d2a721030844.jpg" />, <img src="3-22787\005ba7c1-22da-4604-abe1-b993ac230d1c.jpg" />, <img src="3-22787\73c14eb9-deae-4235-8acf-87c31917c3e7.jpg" />of appropriate dimensions with<img src="3-22787\a1c4f3a2-df03-43c3-8f47-bd36ebfc1f10.jpg" />. Then</p><p><img src="3-22787\634fa0d2-d525-4501-bf89-30b477557aaf.jpg" /></p><p>where <img src="3-22787\f5fba9d5-c9b0-4325-bb15-f1c8632ee3fa.jpg" /> if and only if for some scalar <img src="3-22787\b2b00ae1-91be-4e28-8f3d-18dacf1e8b59.jpg" /></p><p><img src="3-22787\44643720-18bd-424a-a74a-215e293be922.jpg" /></p><p>Lemma 2.3 Let<img src="3-22787\bee9addb-dcc5-447c-b43a-b87c9a8e0604.jpg" />, then the following inequality holds for any matrices R, S<sub>1</sub>, <img src="3-22787\b315e6e7-5a54-42f4-ac11-7bbbdd4677f8.jpg" /> and positive scalar<img src="3-22787\4156097e-3de7-494a-8165-4a73292fadcb.jpg" />:</p><p><img src="3-22787\99edb33f-c560-4b96-94b5-0f2b5bd38888.jpg" /></p><p>Definition 2.1 The dynamical systems (2.1) - (2.3) is called passive if there exists a scalar <img src="3-22787\ed53b5c7-3be2-40cf-a1bb-78ac1bf46441.jpg" /> such that</p><p><img src="3-22787\6159a655-864d-4962-ad40-bfed46f33099.jpg" /></p><p>where <img src="3-22787\9ead8c7a-ec68-4636-8f27-cc8cf9837985.jpg" /> is some constant which depends on the initial condition of the system.</p><p>In addition, the systems (2.1)-(2.3) is said to be strictly passive if it is passive and<img src="3-22787\742aaf09-aa13-49d0-a445-6a63d0e3eb0c.jpg" />. In the sequel, we provide conditions under which a class of discretetime linear dynamical systems with time-varying parameter uncertainties can be guaranteed to be strictly passive. First, we have the following result pertaining to the system (2.1)-(2.3).</p></sec><sec id="s3"><title>3. Proof of Main Results</title><p>Theorem 3.1 The discrete-time systems with time delay (2.3) is strictly passive if there exist symmetric positive definite matrices P, R, Q and<img src="3-22787\67311a74-b63e-4d29-92bb-6f1bbf0f9a6a.jpg" />, such that the following LMI holds:</p><disp-formula id="scirp.34497-formula78425"><label>(3.1)</label><graphic position="anchor" xlink:href="3-22787\2fcdb504-127c-423c-b878-710c3ca6f207.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="3-22787\edfde140-5718-466e-832f-864ad2d18bb6.jpg" /></p><p>Proof. Choose a Lyapunov function candidate for the system (2.1) - (2.3) as follows:</p><disp-formula id="scirp.34497-formula78426"><label>(3.2)</label><graphic position="anchor" xlink:href="3-22787\8114aff1-8ef5-4b50-84e2-9248d6b39422.jpg"  xlink:type="simple"/></disp-formula><p>where</p><p><img src="3-22787\c090f845-09a1-40dc-8c4f-067c2768a10c.jpg" /></p><p>Now, by some calculations, we can get that</p><disp-formula id="scirp.34497-formula78427"><label>(3.3)</label><graphic position="anchor" xlink:href="3-22787\f57faff7-807f-45f7-a1b1-006d2d03062f.jpg"  xlink:type="simple"/></disp-formula><p>We define that<img src="3-22787\c4feedb6-9e8b-4b6e-938c-238c32676bc4.jpg" />, then have</p><disp-formula id="scirp.34497-formula78428"><label>. (3.4)</label><graphic position="anchor" xlink:href="3-22787\4fab98d2-e0dc-4caa-b787-ffa65c6fa625.jpg"  xlink:type="simple"/></disp-formula><p>From the Lemma 2.3, for<img src="3-22787\baac1e16-df7d-4761-8096-84b3f8fca125.jpg" />, we can have that</p><disp-formula id="scirp.34497-formula78429"><label>(3.5)</label><graphic position="anchor" xlink:href="3-22787\62e4a65e-3d95-4602-b21d-9fbf6f88aa32.jpg"  xlink:type="simple"/></disp-formula><p>We have (3.3) and (3.4) into (3.2), after some manipulation, then obtain the following inequality:</p><disp-formula id="scirp.34497-formula78430"><label>(3.6)</label><graphic position="anchor" xlink:href="3-22787\a01ef6c5-9005-400b-b2e1-d06f362a2aa1.jpg"  xlink:type="simple"/></disp-formula><p>where</p><p><img src="3-22787\b005adff-393f-466a-9e8a-b4726ea0eacf.jpg" /></p><p><img src="3-22787\69556e9a-aafd-4687-8498-8ec177d819d6.jpg" /><img src="3-22787\0145e0c9-dd21-4fcf-b72e-c3a8a1b2b021.jpg" />.</p><p>If<img src="3-22787\05f77baf-f4e8-4215-869b-f21dc7263649.jpg" />, then<img src="3-22787\678ba1c3-df17-4e06-a8c2-b1592f7f6714.jpg" />, and from which it follows that</p><disp-formula id="scirp.34497-formula78431"><label>. (3.7)</label><graphic position="anchor" xlink:href="3-22787\988ad886-a674-4a22-a8df-7ad8280ec057.jpg"  xlink:type="simple"/></disp-formula><p>Since <img src="3-22787\8aa3a10d-43dc-49aa-9f29-8014c3e8b167.jpg" /> for <img src="3-22787\ea2318a9-2a8a-4a13-84f0-b75d5c2988d0.jpg" /> and <img src="3-22787\3611874a-6ea5-49fc-bcc5-f15239732dbd.jpg" /> for x = 0, it follow as<img src="3-22787\7d6d3d12-d85f-4ce6-8fa5-6b908bb7dc9c.jpg" />, that systems (2.1) - (2.3) is strictly passive. In view of Definition 2.1, the strictly passive condition is guaranteed if <img src="3-22787\3d143c67-906e-43b6-9a6c-2ea14373d6be.jpg" /> and it can be expressed conveniently as</p><p><img src="3-22787\348918b6-cce2-4e4f-8850-e92e33d6d11c.jpg" /></p><p>(3.8)</p><p>where<img src="3-22787\95bb8d63-3372-49c8-a466-16c6d2b8fca9.jpg" /><img src="3-22787\d9ceb077-ef76-4f9a-9d41-a6c64e085c27.jpg" />.</p><p>Application of Lemma 2.1 to the above inequality, it puts into the following form:</p><p><img src="3-22787\bec2d16b-b024-4d32-91ef-53099a74f4e9.jpg" /></p><p>(3.9)</p><p>Substituting the uncertainty structure (2.5) into (3.9) and rearranging, we get the following inequality</p><p><img src="3-22787\c695d252-e762-4fc6-b1aa-b41320bf7dc6.jpg" /></p><p>(3.10)</p><p>Then by Lemma 2.2, the inequality (3.10) holds if and only if for some <img src="3-22787\bc73d4d2-7598-408a-8d1b-f8ccb6b22362.jpg" /></p><disp-formula id="scirp.34497-formula78432"><label>(3.11)</label><graphic position="anchor" xlink:href="3-22787\02544208-62a7-4589-919b-8fdd08d01acd.jpg"  xlink:type="simple"/></disp-formula><p>for all admissible uncertainties satisfying (2.4). On using Lemma 2.1 in (3.11), it becomes that <img src="3-22787\86a74753-01ac-4719-ab1f-40327368c624.jpg" /> in (3.1). This completes the proof.</p></sec><sec id="s4"><title>4. Robust Passive State Feedback Controller</title><p>We now build on the foregoing results by considering the passive control problem, that is, designing a state feedback controller to render the closed-loop time-delay system passive. Extending the system (2.1)-(2.3), we consider a class of time-delay systems of the form:</p><disp-formula id="scirp.34497-formula78433"><label>(4.1)</label><graphic position="anchor" xlink:href="3-22787\54d21ac7-6009-42ef-b778-14a6a6fab5e0.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.34497-formula78434"><label>(4.2)</label><graphic position="anchor" xlink:href="3-22787\0f6e642f-72bb-4edb-a2ec-777fa0dd3efa.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="3-22787\e6902a82-814f-4f4d-b78d-f255ef67be47.jpg" /> is the control input, <img src="3-22787\58e4af50-caf0-4bc4-9eba-4d79c133b22f.jpg" />, <img src="3-22787\1f461148-7403-441f-8979-8cabcbc752b6.jpg" />, are known real constant matrices; <img src="3-22787\719c10b5-476c-44fa-97b7-5f3ef078f43a.jpg" />and <img src="3-22787\f492df52-2840-45a6-93c4-3317ed7c3346.jpg" /> are unknown matrices representing time-varying parametre uncertainties, and are assumed to be of the form:</p><disp-formula id="scirp.34497-formula78435"><label>. (4.3)</label><graphic position="anchor" xlink:href="3-22787\25d8bb97-212e-41d6-8d51-138f8916bcf1.jpg"  xlink:type="simple"/></disp-formula><p>Then the transformed system becomes</p><disp-formula id="scirp.34497-formula78436"><label>(4.4)</label><graphic position="anchor" xlink:href="3-22787\4033bce9-1ac4-469e-8a97-39acb19a7bf1.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.34497-formula78437"><label>(4.5)</label><graphic position="anchor" xlink:href="3-22787\f847d524-c478-40fb-8aba-486bde7a80e9.jpg"  xlink:type="simple"/></disp-formula><p>then we observe that</p><disp-formula id="scirp.34497-formula78438"><label>. (4.6)</label><graphic position="anchor" xlink:href="3-22787\e5eff542-7701-42a4-bba1-da9d0e73e5af.jpg"  xlink:type="simple"/></disp-formula><p>The following theorem establishes the main result.</p><p>Theorem 4.1 Consider the uncertain discrete-time delay system (4.4), (4.5). If there exists a positive scalar<img src="3-22787\eb58c629-0da1-4858-a989-a9b46dd8ef8c.jpg" />, a real matrix Y, three symmetric positive definite matrices<img src="3-22787\740eade1-1704-4ccc-bcd6-4cd1a2f596af.jpg" />, <img src="3-22787\02bdba44-6537-437f-9d29-12cece652fbb.jpg" />, <img src="3-22787\888947eb-7ce5-47b5-85e7-549c42558814.jpg" />such that the following inequality holds:</p><disp-formula id="scirp.34497-formula78439"><label>(4.7)</label><graphic position="anchor" xlink:href="3-22787\f04bf1fc-67a1-4154-8f4c-7cbaf94f0e35.jpg"  xlink:type="simple"/></disp-formula><p>where</p><p><img src="3-22787\ce6e74ec-7fce-43b6-b3a0-448ab9e0f470.jpg" /></p><p>then the systems (4.4), (4.5) are strictly passive, and the state-feedback gain matrix is given by<img src="3-22787\03e526a1-301c-4529-a081-9abccf8c6266.jpg" />.</p><p>Proof. Similar to Theorem 3.1.</p><p>Remark 4.1 It is noted that the matrix inequalities conditions in Theorem 4.1 are not LMIs. In order to solve the matrix inequalities conditions in Theorem 4.1, we can follow a similar line as in Lee et al. (2004) and Moon et al. (2001) to provide a nonlinear minimization problem subject to LMIs.</p></sec><sec id="s5"><title>REFERENCES</title></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.34497-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">W. Lin, “Global Asymptotic Stabilization of General Nonlinear Systems with Stable Free Dynamics via Passivity and Bounded Feedback,” Automatica, Vol. 32, No. 6, 1996, pp. 915-924. doi:10.1016/0005-1098(96)00013-1</mixed-citation></ref><ref id="scirp.34497-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">W. Z. Su and L. H. 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